Relevant bibliographies by topics / Online Ratings

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Online Ratings'

Author: Grafiati
Published: 1 August 2021
Last updated: 25 January 2023

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Journal articles on the topic "Online Ratings"

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Calixto, Nathaniel E., Whitney Chiao, Megan L. Durr, and Nancy Jiang. "Factors Impacting Online Ratings for Otolaryngologists." Annals of Otology, Rhinology & Laryngology 127, no. 8 (June 8, 2018): 521–26. http://dx.doi.org/10.1177/0003489418778062.

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Objective: To identify factors associated with online patient ratings and comments for a nationwide sample of otolaryngologists. Methods: Ratings, demographic information, and written comments were obtained for a random sample of otolaryngologists from HealthGrades.com and Vitals.com . Online Presence Score (OPS) was based on 10 criteria, including professional website and social media profiles. Regression analyses identified factors associated with increased rating. We evaluated for correlations between OPS and other attributes with star rating and used chi-square tests to evaluate content differences between positive and negative comments. Results: On linear regression, increased OPS was associated with higher ratings on HealthGrades and Vitals; higher ratings were also associated with younger age on Vitals and less experience on HealthGrades. However, detailed correlation studies showed weak correlation between OPS and rating; age and graduation year also showed low correlation with ratings. Negative comments more likely focused on surgeon-independent factors or poor bedside manner. Conclusion: Though younger otolaryngologists with greater online presence tend to have higher ratings, weak correlations suggest that age and online presence have only a small impact on the content found on ratings websites. While most written comments are positive, deficiencies in bedside manner or other physician-independent factors tend to elicit negative comments.
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Ackerman, David, and Christina Chung. "Is RateMyProfessors.com Unbiased? A Look at the Impact of Social Modelling on Student Online Reviews of Marketing Classes." Journal of Marketing Education 40, no. 3 (October 16, 2017): 188–95. http://dx.doi.org/10.1177/0273475317735654.

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This article looks at how marketing student ratings of instructors and classes on online rating sites such as RateMyProfessor.com can be biased by prior student ratings of that class. Research has identified potential sources of bias of online student reviews administered by universities. Less has been done on the sources of bias inherent in a ratings site where those doing the rating can see prior ratings. To measure how student online ratings of a course can be influenced by existing online ratings, the study used five different prior ratings experiment conditions: mildly negative prior ratings, strongly negative prior ratings, mildly positive prior ratings, strongly positive prior ratings, and a control condition of no prior ratings. Results of this study suggest prior online ratings, both positive and negative, do affect subsequent online ratings and bias them. There are several implications. First, both negative and positive ratings can have an impact biasing subsequent ratings. Second, sometimes negative prior ratings must be strong in valence in order to bias subsequent ratings whereas even mildly positive ratings can have an impact. Last, this bias can potentially influence student course selection.
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Wurm, Lee H., Annmarie Cano, and Diana A. Barenboym. "Ratings gathered online vs. in person." Mental Lexicon 6, no. 2 (August 3, 2011): 325–50. http://dx.doi.org/10.1075/ml.6.2.05wur.

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Barenboym, Wurm, and Cano (2010) recently showed that significant differences emerged for ratings gathered online and in person. They also showed that researchers could reach different statistical conclusions in a regression analysis, depending on whether the norms were gathered online or in person. In the current study that research was extended. Familiarity ratings gathered online were significantly higher than those gathered in the lab, for a set of 300 potential stimuli. The in-person ratings correlated significantly better with an existing database of familiarity values. It is also shown that under three different grouping methods, online and in-person familiarity ratings produce different sets of stimuli. Finally, it is demonstrated that in each case, different conclusions are reached about variables that have a significant relationship with familiarity. Simulations show that the effects are driven disproportionately by higher intra-item variability in the online ratings. Studies in which stimuli are grouped on the basis of ratings can be affected by the choice of rating methodology.
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Zillioux, Jacqueline, C. William Pike, Devang Sharma, and David E. Rapp. "Analysis of Online Urologist Ratings: Are Rating Differences Associated With Subspecialty?" Journal of Patient Experience 7, no. 6 (August 24, 2020): 1062–67. http://dx.doi.org/10.1177/2374373520951901.

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Patients are increasingly using online rating websites to obtain information about physicians and to provide feedback. We performed an analysis of urologist online ratings, with specific focus on the relationship between overall rating and urologist subspecialty. We conducted an analysis of urologist ratings on Healthgrades.com . Ratings were sampled across 4 US geographical regions, with focus across 3 practice types (large and small private practice, academic) and 7 urologic subspecialties. Statistical analysis was performed to assess for differences among subgroup ratings. Data were analyzed for 954 urologists with a mean age of 53 (±10) years. The median overall urologist rating was 4.0 [3.4-4.7]. Providers in an academic practice type or robotics/oncology subspecialty had statistically significantly higher ratings when compared to other practice settings or subspecialties ( P < 0.001). All other comparisons between practice types, specialties, regions, and sexes failed to demonstrate statistically significant differences. In our study of online urologist ratings, robotics/oncology subspecialty and academic practice setting were associated with higher overall ratings. Further study is needed to assess reasons underlying this difference.
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Neo, Rachel L. "The Limits of Online Consensus Effects: A Social Affirmation Theory of How Aggregate Online Rating Scores Influence Trust in Factual Corrections." Communication Research 47, no. 5 (June 21, 2018): 771–92. http://dx.doi.org/10.1177/0093650218782823.

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Research on bandwagon effects suggests that people will yield to aggregate online rating scores even when forming evaluations of contentious content. However, such findings derive mainly from studying partisan news selection behaviors, and therefore, are incomplete. How do people use ratings to evaluate whether factual corrections on contentious issues are trustworthy? Through what I term the social affirmation heuristic, I hypothesize, people will first assess rating scores for compatibility with their own beliefs; and then they will invest trust only in ratings of factual messages that affirm their beliefs, while distrusting ratings that disaffirm them. I further predict that distrusted ratings will elicit boomerang effects, causing evaluations of message trustworthiness to conflict with rating scores. I use an online experiment ( n = 157) and a nationally representative survey experiment ( N = 500) to test these ideas. All hypotheses received clear support. Implications of the findings are discussed.
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Le Mens, Gaël, Balázs Kovács, Judith Avrahami, and Yaakov Kareev. "How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings." Psychological Science 29, no. 9 (July 25, 2018): 1475–90. http://dx.doi.org/10.1177/0956797618775080.

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People frequently consult average ratings on online recommendation platforms before making consumption decisions. Research on the wisdom-of-the-crowd phenomenon suggests that average ratings provide unbiased quality estimates. Yet we argue that the process by which average ratings are updated creates a systematic bias. In analyses of more than 80 million online ratings, we found that items with high average ratings tend to attract more additional ratings than items with low average ratings. We call this asymmetry in how average ratings are updated endogenous crowd formation. Using computer simulations, we showed that it implies the emergence of a negative bias in average ratings. This bias affects items with few ratings particularly strongly, which leads to ranking mistakes. The average-rating rankings of items with few ratings are worse than their quality rankings. We found evidence for the predicted pattern of biases in an experiment and in analyses of large online-rating data sets.
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BUMPASS, DAVID B., and JULIE BALCH SAMORA. "Understanding Online Physician Ratings." Journal of the American Academy of Orthopaedic Surgeons 7, no. 9 (September 2013): 21. http://dx.doi.org/10.5435/00124635-201309010-00014.

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Huber, Sarah A., Jennifer Priestley, Khushabu Kasabwala, Bogdan Gadidov, and Patrick Culligan. "Understanding Your Online Ratings." Female Pelvic Medicine & Reconstructive Surgery 25, no. 2 (2019): 193–97. http://dx.doi.org/10.1097/spv.0000000000000676.

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Atkinson, Sean. "Current status of online rating of Australian doctors." Australian Journal of Primary Health 20, no. 3 (2014): 222. http://dx.doi.org/10.1071/py14056.

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Online rating of patient satisfaction of their doctor is increasingly common worldwide. This study of 4157 ratings of Australian doctors found patients were extremely satisfied with their doctor. However, this result was limited by a low prevalence of rated doctors and low numbers of ratings per doctor. Further studies are needed to determine how online rating will affect future practice for all doctors.
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Emmert, Martin, and Stuart McLennan. "One Decade of Online Patient Feedback: Longitudinal Analysis of Data From a German Physician Rating Website." Journal of Medical Internet Research 23, no. 7 (July 26, 2021): e24229. http://dx.doi.org/10.2196/24229.

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Background Feedback from patients is an essential element of a patient-oriented health care system. Physician rating websites (PRWs) are a key way patients can provide feedback online. This study analyzes an entire decade of online ratings for all medical specialties on a German PRW. Objective The aim of this study was to examine how ratings posted on a German PRW have developed over the past decade. In particular, it aimed to explore (1) the distribution of ratings according to time-related aspects (year, month, day of the week, and hour of the day) between 2010 and 2019, (2) the number of physicians with ratings, (3) the average number of ratings per physician, (4) the average rating, (5) whether differences exist between medical specialties, and (6) the characteristics of the patients rating physicians. Methods All scaled-survey online ratings that were posted on the German PRW jameda between 2010 and 2019 were obtained. Results In total, 1,906,146 ratings were posted on jameda between 2010 and 2019 for 127,921 physicians. The number of rated physicians increased constantly from 19,305 in 2010 to 82,511 in 2018. The average number of ratings per rated physicians increased from 1.65 (SD 1.56) in 2010 to 3.19 (SD 4.69) in 2019. Overall, 75.2% (1,432,624/1,906,146) of all ratings were in the best rating category of “very good,” and 5.7% (107,912/1,906,146) of the ratings were in the lowest category of “insufficient.” However, the mean of all ratings was 1.76 (SD 1.53) on the German school grade 6-point rating scale (1 being the best) with a relatively constant distribution over time. General practitioners, internists, and gynecologists received the highest number of ratings (343,242, 266,899, and 232,914, respectively). Male patients, those of higher age, and those covered by private health insurance gave significantly (P<.001) more favorable evaluations compared to their counterparts. Physicians with a lower number of ratings tended to receive ratings across the rating scale, while physicians with a higher number of ratings tended to have better ratings. Physicians with between 21 and 50 online ratings received the lowest ratings (mean 1.95, SD 0.84), while physicians with >100 ratings received the best ratings (mean 1.34, SD 0.47). Conclusions This study is one of the most comprehensive analyses of PRW ratings to date. More than half of all German physicians have been rated on jameda each year since 2016, and the overall average number of ratings per rated physicians nearly doubled over the decade. Nevertheless, we could also observe a decline in the number of ratings over the last 2 years. Future studies should investigate the most recent development in the number of ratings on both other German and international PRWs as well as reasons for the heterogeneity in online ratings by medical specialty.
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Dissertations / Theses on the topic "Online Ratings"

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Hosseini, Rahil. "Browsing through products and people: online review, ratings, and swiping." Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/670200.

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In this thesis, I explored three topics, each addressing a different aspect online search for products and people. In chapter one, we investigated whether consumers’ response to online product reviews depends, not only on static dimensions but also on more dynamic features such as narrative style. We showed that depending on the review’s narrative style, consumers engage in an imaginary social interaction with the reviewer that significantly improves recommendation acceptance. The topic of interest in chapter two is product evaluation based on online product ratings. More specifically, we measured the relative effects of ratings expressed on larger versus smaller scales. The results suggest that when consumers aggregate ratings from different online product review websites, ratings expressed on larger scales have a stronger effect on product evaluation. In chapter three, we examined online dating and tested whether partner search via swift evaluation of profile photos, as is typical for apps such as Tinder, would promote a commodified view of other people. The findings provided evidence for a reduced perception of humanness in others, and lower fairness considerations after a date search task.
En esta tesis, he explorado tres temas, cada uno abordando un aspecto diferente de la búsqueda en línea de productos y personas.. En el capítulo uno, investigamos si la respuesta de los consumidores a las opiniones de productos en línea depende, no solo de las dimensiones estáticas, sino también de las características más dinámicas como el estilo narrativo. Demostramos que, según el estilo narrativo de la opinión, los consumidores participan en una interacción social imaginaria con el escritor que mejora significativamente la aceptación de las recomendaciones. En el capítulo dos nos centramos en la evaluación de productos basada en calificaciones de productos en línea. Más específicamente, medimos los efectos relativos de las calificaciones expresadas en escalas más grandes versus más pequeñas. Los resultados sugieren que cuando los consumidores agregan calificaciones de diferentes sitios web , las calificaciones expresadas en escalas más grandes tienen un efecto más fuerte en la evaluación del producto. En el capítulo tres, examinamos las citas en línea y comprobamos si la búsqueda de pareja a través de una evaluación rápida de las fotos de perfil, como es típico en aplicaciones como Tinder, promueveuna visión comercial de los demás. Los hallazgos muestran un incremento en la deshumanización hacia los demás, así como menores consideraciones de equidad después de una tarea de búsqueda de citas.
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Walters, Jeromie L. "Online Evaluation System." University of Akron / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=akron1113514372.

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Costa, Hugo Miguel dos Santos. "O impacto das online reviews no download das aplicações móveis, em Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/19508.

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Mestrado em Gestão de Sistemas de Informação
O objetivo deste projeto pretende contribuir para o estudo de mercado das aplicações móveis em Portugal. Ao perceber e interpretar o feedback dos utilizadores portugueses os programadores, designers, comerciais e todas pessoas envolvidas nos lançamentos de aplicações poderão investigar e investir mais em aspetos, configurações e características que os utilizadores encontrem ser mais importantes e relevantes levando, então, quer ao sucesso da equipa, quer à satisfação dos utilizadores. Para tal, foi realizado um estudo através da formulação de um questionário, onde foram definidas variáveis com base nas preferências gerais de análise dos utilizadores e ainda com base nas normas internacionais criadas pela organização ISO, mais especificamente as normas ISO/IEC 9126-1:2000 e a ISO/IEC 25012. Posteriormente foi feita uma análise estatística com recurso a dois softwares Microsoft Office Excel e IBM SPSS Statistcs 25, que permitiram organizar a informação, assim como obter os resultados dos testes e análises estatísticas. Concluiu-se que, para os utilizadores portugueses, os comentários detalhados são mais impactantes que os comentários emocionais, que a avaliação geral de uma aplicação tem mais valor que os comentários e ainda que a norma ISO/IEC 9126-1:2000 é mais importante para a avaliação de uma aplicação.
The objective of this project will contribute to the market study of mobile applications in Portugal. By understanding and interpreting feedback from Portuguese users the developers, designers, commercials and everyone involved in releasing applications will be able to investigate and invest more in aspects, configurations and features that users find to be most important and relevant, thus leading to both team's success and user satisfaction. To this end, a study was carried out through the formulation of a survey, where variables were based on the general preferences of users analysis and also based on the international standards created by the ISO organization, specifically ISO / IEC 9126-1: 2000 and ISO / IEC 25012. Subsequently, a statistical analysis was performed using two softwares, the Microsoft Office Excel and the IBM SPSS Statistcs 25, which allowed the information to be organized, as well as find the results of the tests and statistical analyzes. It was possible to conclude that for the Portuguese users, detailed comments are more impactful than emotional comments, that the overall evaluation of an application has more value than comments, and that ISO / IEC 9126-1: 2000 is most important for the evaluation of an application.
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Ahsan, Ayesha. "Consumer ratings-reviews and its impact on consumer purchasing behavior." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219309.

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Storytelling is one of the most creative, powerful and effective tools of modern marketing strategies and communication. Due to the expansion of social media, storytelling has become a popular marketing and sales tool that may affect consumer behavior. This research has been conducted from a storytelling perspective with the purpose of finding the correlation between consumer reviews and consumer purchasing behavior. This study focuses on consumer stories which are reflected in terms of product reviews and ratings. Where the correlation between these reviews and ratings and their effects on overall product sales are investigated. The study answers the question, “If reviews & rating have a correlation with consumer purchasing behavior in digital marketing, and if so then how this correlation could be defined?” The data collection and tests have been conducted in a practical environment. The German online stores have been used as the main mode of data collection. Depending on the nature of the data, the quantitative analysis approach has been adopted. By conducting real-time sales data tests, this study fills the gap in previous consumer research studies. The in-depth analysis of results show the correlation between consumer reviews and product sales. The results have revealed that consumer reviews may influence overall product sales and help a consumer in purchasing decision.
Storytelling är ett av de mest kreativa, kraftfulla och effektiva redskapen i modern marknadsföring. På grund av den ökande användningen av sociala medier har storytelling blivit ett populärt redskap för att påverka konsumenternas beteende. Denna studie har utförts från perspektivet av storytelling med syftet att finna en korrelation mellan kundrecensioner och kundernas köpbeteende. Studien fokuserar på kundernas historier som reflekteras i recensioner och betyg, där korrelationen mellan recensioner och betyg och övergripande försäljning undersöks. Studien syftar till att besvara frågan ”Om recensioner & betyg har en korrelation med kundernas köpbeteende i digital marknadsföring, och om så hur kan korrelationen definieras?” Datainsamlingen och testandet har utförts i en praktisk miljö. Tyska online butiker har använts som huvudsaklig metod för datainsamling. På grund av strukturen på data har en kvantitativ analys metod använts. Genom att genomföra tester i realtid, har denna studie kompletterat tidigare forskning kring kundbeteende. Den fördjupade analysen av resultaten visar att det finns en korrelation mellan kundrecensioner och försäljning. Resultaten har visat att kundrecensioner kan påverka försäljningen av produkter och hjälpa en konsument i ett köpbeslut.
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Neo, Rachel. "The Limits of Peer Influence: A Social (Dis)Affirmation Explanation of How Online Ratings Influence Trust in Factual Corrections." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1459984656.

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Carbonell, Carrasquilla Guillermo Alejandro [Verfasser], and Matthias [Akademischer Betreuer] Brand. "Decisions based on ratings, reviews, and recommendations - the cognitive processing of online information / Guillermo Alejandro Carbonell Carrasquilla ; Betreuer: Matthias Brand." Duisburg, 2019. http://d-nb.info/1177681501/34.

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Carbonell, Guillermo [Verfasser], and Matthias [Akademischer Betreuer] Brand. "Decisions based on ratings, reviews, and recommendations - the cognitive processing of online information / Guillermo Alejandro Carbonell Carrasquilla ; Betreuer: Matthias Brand." Duisburg, 2019. http://d-nb.info/1177681501/34.

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Ganivet, Fernando J. "Development of a New Student Evaluation Instrument of Instructor Effectiveness in Online Courses." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/382.

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The purpose of this study was to (a) develop an evaluation instrument capable of rating students' perceptions of the instructional quality of an online course and the instructor’s performance, and (b) validate the proposed instrument with a study conducted at a major public university. The instrument was based upon the Seven Principles of Good Practice for Undergraduate Education (Chickering & Gamson, 1987). The study examined four specific questions. 1. Is the underlying factor structure of the new instrument consistent with Chickering and Gamson's Seven Principles? 2. Is the factor structure of the new instrument invariant for male and female students? 3. Are the scores on the new instrument related students’ expected grades? 4. Are the scores on the new instrument related to the students' perceived course workload? The instrument was designed to measure students’ levels of satisfaction with their instruction, and also gathered information concerning the students’ sex, the expected grade in the course, and the students’ perceptions of the amount of work required by the course. A cluster sample consisting of an array of online courses across the disciplines yielded a total 297 students who responded to the online survey. The students for each course selected were asked to rate their instructors with the newly developed instrument. Question 1 was answered using exploratory factor analysis, and yielded a factor structure similar to the Seven Principles. Question 2 was answered by separately factor-analyzing the responses of male and female students and comparing the factor structures. The resulting factor structures for men and women were different. However, 14 items could be realigned under five factors that paralleled some of the Seven Principles. When the scores of only those 14 items were entered in two principal components factor analyses using only men and only women, respectively and restricting the factor structure to five factors, the factor structures were the same for men and women. A weak positive relationship between students’ expected grades and their scores on the instrument was found (Question 3). There was no relationship between students’ perceived workloads for the course and their scores on the instrument (Question 4).
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Ray, Colleen Andrea. "THE EFFECT OF ENGAGEMENT IN COGNITIVE REAPPRAISAL IN RESPONSE TO PREVIOUSLY CONDITIONED STIMULI ON ONLINE AND LONG-TERM EXPECTANCY RATINGS AND EMOTION INDICES." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/194432.

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Previous research has shown that cognitive reappraisal, an emotion regulation strategy, has beneficial effects on emotion experience during strategy engagement. The present study extends this work by investigating whether cognitive reappraisal impacts the anticipation of an aversive event during, and five days following, strategy engagement. Emotion profiles, including psychophysiological and self-report indices, were also examined to assess whether reappraisal inhibits affective responses. Participants underwent habituation and simple discriminatory fear conditioning. Stimuli were pictures of a snake and a spider. Two days later participants returned to the laboratory and were either i) cued to engage in cognitive reappraisal while imagining the stimuli ii) exposed to the stimuli with no reappraisal instructions iii) exposed to the stimuli while engaging in cognitive reappraisal or iv) had an experience unrelated to the stimuli (control condition). Participants returned to the lab five days later and were exposed to both pictures paralleling initial habituation and conditioning protocols. It was found that cognitive reappraisal during exposure reduced expectancy of the UCS faster than exposure alone and resulted in lower mean skin conductance response (SCR) for those low, but not high, in fear of snakes. Five days later participants in the intervention conditions, compared to the control condition, demonstrated less anticipation of the UCS and smaller emotion-modulated startle magnitudes to the UCS. These findings suggest that cognitive reappraisal may be an effective tool for reducing anticipation of an aversive event and can result in enduring fear inhibition. This may have important implications for the treatment of individuals with anxiety disorders. The present study also examined the relationship between cardiac vagal control, indexed by respiratory sinus arrhythmia (RSA), and subsequent sympathetic arousal during fear conditioning, indexed by SCR. Results demonstrate that participants with low, compared to high, resting RSA had larger SCRs during habituation and conditioning trials. In addition, participants with lower RSA showed greater SCR reactivity following UCS presentation to both conditioned stimuli, suggesting that those with the lower RSA initially differentiated less between the UCS paired and unpaired images. These findings are consistent with theories that associate faster recovery from emotionally demanding situations with greater cardiac vagal control.
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Giannamore, Kathleen A. "ALIGNING THE NECESSARY COMPETENCIES FOR TRAINING AND EVALUATING ONLINE TEACHERS IN HIGHER EDUCATION WITH CHICKERING AND GAMSON’S SEVEN PRINCIPLES FOR EFFECTIVE UNDERGRADUATE TEACHING: A Q METHODOLOGY STUDY." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1600439569685503.

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Books on the topic "Online Ratings"

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Leong, Pamela. Rating Professors Online. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35936-2.

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Palloff, Rena M. Assessing the Online Learner. New York: John Wiley & Sons, Ltd., 2008.

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1957-, Morgan Chris, ed. The student assessment handbook: New directions in traditional and online assessment. New York: RoutledgeFalmer, 2003.

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Heckner, Markus. Tagging, rating, posting: Studying forms of user contribution for web-based information management and information retrieval. Boizenburg: VWH, Verlag Werner Hülsbusch, 2009.

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1947-, Pratt Keith, ed. Assessing the online learner: Resources and strategies for faculty. San Francisco: Jossey-Bass, 2009.

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Online student ratings of instruction. San Francisco, Calif: Jossey-Bass Publishers, 2003.

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Sorenson, D. Lynn, and Trav D. Johnson. Online Student Ratings of Instruction. Wiley & Sons, Incorporated, John, 2011.

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Manipurated: How business owners can fight fraudulent online ratings and reviews. 2015.

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Sorenson, D. Lynn, and Trav D. Johnson. Online Student Ratings of Instruction: New Directions for Teaching and Learning, Number 96. Wiley & Sons, Incorporated, John, 2011.

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Sorenson, D. Lynn, and Trav D. Johnson. Online Student Ratings of Instruction: New Directions for Teaching and Learning, Number 96. Wiley & Sons, Incorporated, John, 2011.

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Book chapters on the topic "Online Ratings"

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Weng, Jianshu, Chunyan Miao, and Angela Goh. "Protecting Online Rating Systems from Unfair Ratings." In Trust, Privacy, and Security in Digital Business, 50–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11537878_6.

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Napoli, Philip M., Paul J. Lavrakas, and Mario Callegaro. "Internet and mobile ratings panels1." In Online Panel Research, 387–407. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118763520.ch17.

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Kexel, Christoph A., and Bianca Ries. "Ethical Implications of Online Ratings." In Face-to-Interface, 59–68. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-17155-1_3.

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Rahman, Syed A., Tazin Afrin, and Don Adjeroh. "Determinants of User Ratings in Online Business Rating Services." In Social Computing, Behavioral-Cultural Modeling, and Prediction, 412–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16268-3_52.

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Schindler, Diana, Lars Lüpke, and Reinhold Decker. "Estimating True Ratings from Online Consumer Reviews." In Studies in Classification, Data Analysis, and Knowledge Organization, 235–52. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01264-3_21.

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Wan, Yun, and Makoto Nakayama. "Are Amazon.com Online Review Helpfulness Ratings Biased or Not?" In Lecture Notes in Business Information Processing, 46–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29873-8_5.

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Leberknight, Christopher S., Soumya Sen, and Mung Chiang. "On the Volatility of Online Ratings: An Empirical Study." In Lecture Notes in Business Information Processing, 77–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29873-8_8.

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Wang, Fang, Kalyani Menon, Chatura Ranaweera, and Xiao-Ping Zhang. "Online Product Ratings: Dynamic Trends and Diagnosticity Assessment Explanation." In Let’s Get Engaged! Crossing the Threshold of Marketing’s Engagement Era, 391. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-11815-4_109.

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Rahayu, Dwi A. P., Shonali Krishnaswamy, Cyril Labbe, and Oshadi Alhakoon. "RnR: A System for Extracting Rationale from Online Reviews and Ratings." In Service-Oriented Computing, 717–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17358-5_70.

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De Marchi, Damiano, Mirko Lalli, and Alessandro Mancini. "Monitoring online perception of environmental issues on coasts of Sicily." In Proceedings e report, 214–18. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.21.

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The analysis of big data on human experience (reviews, comments, ratings, etc.) can provide valuable insights to companies and institutions. This pioneer study applied the artificial intelligence proprietary tools of The Data Appeal Company for a different aim: monitoring the online perception of environmental issues on 88 beaches of Sicily. Results proved that it is possible to monitor environmental situation even to sites where there are no other kind of monitoring, using as bases the free and available contents posted by humans online, processed and analyzed by artificial intelligence
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Conference papers on the topic "Online Ratings"

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Oh, Hyun-Kyo, Sang-Wook Kim, Sunju Park, and Ming Zhou. "Trustable aggregation of online ratings." In the 22nd ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2505515.2507863.

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Salminen, Joni, Hind Almerekhi, Ahmed Mohamed Kamel, Soon-gyo Jung, and Bernard J. Jansen. "Online Hate Ratings Vary by Extremes." In CHIIR '19: Conference on Human Information Interaction and Retrieval. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3295750.3298954.

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Zhang, Yu, and Mihaela van der Schaar. "Collective ratings for online labor markets." In 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2012. http://dx.doi.org/10.1109/allerton.2012.6483242.

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Spinelli, Larissa, and Mark Crovella. "Unravelling the Dynamics of Online Ratings." In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2018. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2018.00191.

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Reddy, Ch Sarath Chandra, K. Uday Kumar, J. Dheeraj Keshav, Bakshi Rohit Prasad, and Sonali Agarwal. "Prediction of star ratings from online reviews." In TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE, 2017. http://dx.doi.org/10.1109/tencon.2017.8228161.

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Mesarosh, Karl, and Fu-Shing Sun. "A Framework for Analyzing Online Customer Ratings." In 2017 25th International Conference on Systems Engineering (ICSEng). IEEE, 2017. http://dx.doi.org/10.1109/icseng.2017.19.

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Zhang, Yaonan, Theodoros Lappas, Mark Crovella, and Eric D. Kolaczyk. "Online ratings: Convergence towards a positive perspective?" In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854511.

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Zhang, Xiaoying, Hong Xie, Junzhou Zhao, and John C. S. Lui. "Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/763.

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The unbiasedness of online product ratings, an important property to ensure that users’ ratings indeed reflect their true evaluations to products, is vital both in shaping consumer purchase decisions and providing reliable recommendations. Recent experimental studies showed that distortions from historical ratings would ruin the unbiasedness of subsequent ratings. How to “discover” the distortions from historical ratings in each single rating (or at the micro-level), and perform the “debiasing operations” in real rating systems are the main objectives of this work. Using 42 million real customer ratings, we first show that users either “assimilate” or “contrast” to historical ratings under different scenarios: users conform to historical ratings if historical ratings are not far from the product quality (assimilation), while users deviate from historical ratings if historical ratings are significantly different from the product quality (contrast). This phenomenon can be explained by the well-known psychological argument: the “Assimilate-Contrast” theory. However, none of the existing works on modeling historical ratings’ influence have taken this into account, and this motivates us to propose the Histori- cal Influence Aware Latent Factor Model (HIALF), the first model for real rating systems to capture and mitigate historical distortions in each single rating. HIALF also allows us to study the influence patterns of historical ratings from a modeling perspective, and it perfectly matches the assimilation and contrast effects we previously observed. Also, HIALF achieves significant improvements in predicting subsequent ratings, and accurately predicts the relationships revealed in previous empirical measurements on real ratings. Finally, we show that HIALF can contribute to better recommendations by decoupling users’ real preference from distorted ratings, and reveal the intrinsic product quality for wiser consumer purchase decisions.
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Mansoury, Masoud, Hamid Reza Shahriari, and Mahdi Shajari. "Trust evaluation using items ratings in online communities." In 2012 20th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2012. http://dx.doi.org/10.1109/iraniancee.2012.6292459.

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Rahayu, Dwi AP, Shonali Krishnaswamy, Oshadi Alahakoon, and Cyril Labbe. "RnR: Extracting Rationale from Online Reviews and Ratings." In 2010 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2010. http://dx.doi.org/10.1109/icdmw.2010.167.

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Reports on the topic "Online Ratings"

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Armstrong, Beth, Lucy King, Ayla Ibrahimi, Robin Clifford, Mark Jitlal, and Katie Mears. Food Hygiene Rating Scheme (FHRS) - Food and You 2: Wave 4 Key Findings. Food Standards Agency, November 2022. http://dx.doi.org/10.46756/sci.fsa.lyx422.

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Fieldwork for Food and You 2: Wave 4 was conducted between 8th October 2021 and 10th January 2022. A total of 5,796 adults from 4,026 households (an overall response rate of 28.5%) across England, Wales, and Northern Ireland completed the ‘push-to-web’ survey (see Annex A for more information about the methodology). This report presents findings from the F&Y2: Wave 4 ‘Eating out and takeaway’ module relating to the Food Hygiene Rating Scheme (FHRS). A total of 4,755 adults across England, Wales, and Northern Ireland completed the ‘Eating out and takeaway’ module via the online or the ‘Eating out’ postal questionnaire. Food and You 2: Wave 4 data were collected during a time and context which has seen changes in UK and global economics and politics, the context in which the public make food decisions, and the effect of Omicron restrictions. It is expected that the current context had an impact on the level of food security and food-related behaviours reported
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Kim, Joseph, and Patricia McCarthy. Evaluation of Sustainability Determinants to Develop a Sustainability Rating System for California Infrastructure Construction Projects. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2142.

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This study evaluates the important sustainability determinants that affect factors’ success in meeting their sustainability goals when conducting infrastructure construction projects in California. The study implemented the online survey method to evaluate the sustainability characteristics that infrastructure industry professionals currently are aware of under the current situation in California. A data set of 25 validated survey responses is used for statistical data analysis using analysis of variables, Kruskal-Wallis tests, and two sample t-tests. The analysis results showed that the median response values for the six major sustainability categories do not show any significant difference. The results also showed that no statistically significant difference in the mean response values can be found from the six major sustainability categories considered. Based on the pairwise comparison results, only the other category showed a difference with water- and energy-related categories. However, mean ranks among the factors under each category are useful in prioritizing the importance of the factors considered, which will be useful for the successful implementation of sustainability in infrastructure construction projects in California. These results are meaningful for legislators and transportation agencies because they provide insights about the sustainability criteria relevant to infrastructure construction projects for better informed decisions about how to meet the projects’ sustainability goals.
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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Key Informants. We searched MEDLINE and EMBASE (via EMBASE.com), In-Process MEDLINE and PubMed unique content (via PubMed.gov), and the Cochrane Database of Systematic Reviews for systematic reviews or controlled trials. We also searched ClinicalTrials.gov for ongoing studies. We assessed risk of bias and extracted data on health outcomes, surrogate outcomes, usability, sustainability, cost-effectiveness outcomes (quantifying the tradeoffs between health effects and cost), process outcomes, and other characteristics related to PGHD technologies. For isolated effects on health outcomes, we classified the results in one of four categories: (1) likely no effect, (2) unclear, (3) possible positive effect, or (4) likely positive effect. When we categorized the data as “unclear” based solely on health outcomes, we then examined and classified surrogate outcomes for that particular clinical condition. Findings. We identified 114 unique studies that met inclusion criteria. The largest number of studies addressed patients with hypertension (51 studies) and obesity (43 studies). Eighty-four trials used a single PGHD device, 23 used 2 PGHD devices, and the other 7 used 3 or more PGHD devices. Pedometers, blood pressure (BP) monitors, and scales were commonly used in the same studies. Overall, we found a “possible positive effect” of PGHD interventions on health outcomes for coronary artery disease, heart failure, and asthma. For obesity, we rated the health outcomes as unclear, and the surrogate outcomes (body mass index/weight) as likely no effect. For hypertension, we rated the health outcomes as unclear, and the surrogate outcomes (systolic BP/diastolic BP) as possible positive effect. For cardiac arrhythmias or conduction abnormalities we rated the health outcomes as unclear and the surrogate outcome (time to arrhythmia detection) as likely positive effect. The findings were “unclear” regarding PGHD interventions for diabetes prevention, sleep apnea, stroke, Parkinson’s disease, and chronic obstructive pulmonary disease. Most studies did not report harms related to PGHD interventions; the relatively few harms reported were minor and transient, with event rates usually comparable to harms in the control groups. Few studies reported cost-effectiveness analyses, and only for PGHD interventions for hypertension, coronary artery disease, and chronic obstructive pulmonary disease; the findings were variable across different chronic conditions and devices. Patient adherence to PGHD interventions was highly variable across studies, but patient acceptance/satisfaction and usability was generally fair to good. However, device engineers independently evaluated consumer wearable and handheld BP monitors and considered the user experience to be poor, while their assessment of smartphone-based electrocardiogram monitors found the user experience to be good. Student volunteers involved in device usability testing of the Weight Watchers Online app found it well-designed and relatively easy to use. Implications. Multiple randomized controlled trials (RCTs) have evaluated some PGHD technologies (e.g., pedometers, scales, BP monitors), particularly for obesity and hypertension, but health outcomes were generally underreported. We found evidence suggesting a possible positive effect of PGHD interventions on health outcomes for four chronic conditions. Lack of reporting of health outcomes and insufficient statistical power to assess these outcomes were the main reasons for “unclear” ratings. The majority of studies on PGHD technologies still focus on non-health-related outcomes. Future RCTs should focus on measurement of health outcomes. Furthermore, future RCTs should be designed to isolate the effect of the PGHD intervention from other components in a multicomponent intervention.
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Uchitel, Aleksandr D., Ilona V. Batsurovska, Nataliia A. Dotsenko, Olena A. Gorbenko, and Nataliia I. Kim. Implementation of future agricultural engineers' training technology in the informational and educational environment. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4440.

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The article presents the implementation of future agricultural engineers’ training technology in the informational and educational environment. To train future agricultural engineers, it is advisable to form tutorials for the study of each discipline in the conditions of informational and educational environment. Such tutorials are an assistance in mastering both theoretical material and course navigation, where interactive electronic learning tools are presented to perform tasks in the informational and educational environment. Higher education applicants perform such tasks directly in the classroom with the help of gadgets or personal computers. The final grade is formed from the scores obtained in the classroom and the rating of higher education applicants while studying in the informational and educational environment. The outlined approach is able to help in the quality of learning content. The use of interactive audiovisual online tools allows to get acquainted with the theoretical, practical and experimental provisions clearly, it is important for the training of future agricultural engineers. At the end of the experiment, it can be argued that the developed technology increases the level of motivation and self-incentive to work in the informational and educational environment. The application of the presented technology provides an opportunity to combine the educational process in the classroom with learning in the informational and educational environment, forms analytical abilities and competencies in professional activity. The reliability of the obtained results was checked using the λ Kolmogorov-Smirnov criterion. It is determined that when using this technology in the educational process, the indicators in the experimental group increased, which displays the effectiveness of training bachelors in agricultural engineering in the conditions of informational and educational environment.
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Sureshbabu, Keertana, Egbe-Etu Etu, Susan Summerville, Ankur Parmar, and Gaojian Huang. Exploring the Use of Public Transportation Among Older Adults During the COVID-19 Pandemic: A National Survey. Mineta Transportation Institute, November 2022. http://dx.doi.org/10.31979/mti.2022.2204.

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Public transportation is an essential part of many older adults’ lives, but the pandemic presented new challenges for the vulnerable population. Adults aged 65 years and older experienced additional challenges, such as limited mobility options (e.g., lack of buses or trains in service due a combination of government lockdowns, fear of contracting or spreading the virus, and driver shortages in certain areas) because of the pandemic, which may have resulted in more age-related declines in perceptual, cognitive, and physical functioning. This study explores how older adults living in major metropolitan cities in the United States used and perceived public transportation during the COVID-19 pandemic. The research team conducted an online survey through the Amazon Mechanical Turk (MTurk) crowdsourcing marketplace, a platform that offers opportunities to recruit a larger number of participants from diverse geographic locations. 260 respondents completed the survey. Eligibility included: (1) residing in the United States, (2) being aged 55 years or older (the oldest age that can be selected on MTurk), and (3) having an approval rating of 90% or above (i.e., the percentage of the workers’ submitted tasks approved by survey requesters, offered by the MTurk platform). Overall, older adults reported that they had changed travel patterns since the onset of the COVID-19 pandemic, experienced challenges in using public transportation, and expressed concerns about catching the SARS-CoV-2 virus while using public transportation. Mobile technology (e.g., a transportation navigation app) was perceived as a good option for finding public transportation information, but needs improved user experience and accessibility. These findings may help transit agencies develop effective strategies for improving transportation services and increasing policymakers’ awareness of older adults’ need for accessible public transportation.
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Cantor, Amy, Heidi D. Nelson, Miranda Pappas, Chandler Atchison, Brigit Hatch, Nathalie Huguet, Brittny Flynn, and Marian McDonagh. Effectiveness of Telehealth for Women’s Preventive Services. Agency for Healthcare Research and Quality (AHRQ), June 2022. http://dx.doi.org/10.23970/ahrqepccer256.

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Objectives. To evaluate the effectiveness, use, and implementation of telehealth for women’s preventive services for reproductive healthcare and interpersonal violence (IPV), and to evaluate patient preferences and engagement for telehealth, particularly in the context of the coronavirus (COVID-19) pandemic. Data sources. Ovid MEDLINE®, CINAHL®, Embase®, and Cochrane CENTRAL databases (July 1, 2016, to March 4, 2022); manual review of reference lists; suggestions from stakeholders; and responses to a Federal Register Notice. Review methods. Eligible abstracts and full-text articles of telehealth interventions were independently dual reviewed for inclusion using predefined criteria. Dual review was used for data abstraction, study-level risk of bias assessment, and strength of evidence (SOE) rating using established methods. Meta-analysis was not conducted due to heterogeneity of studies and limited available data. Results. Searches identified 5,704 unique records. Eight randomized controlled trials, one nonrandomized trial, and seven observational studies, involving 10,731 participants, met inclusion criteria. Of these, nine evaluated IPV services and seven evaluated contraceptive care, the only reproductive health service studied. Risk of bias was low in one study, moderate in nine trials and five observational studies, and high in one study. Telehealth interventions were intended to replace usual care in 14 studies and supplement care in 2 studies. Delivery modes included telephone (5 studies), online modules (5 studies), and mobile applications (1 study), and was unclear or undefined in five studies. There were no differences between telehealth interventions to supplement contraceptive care and comparators for rates of contraceptive use, sexually transmitted infection, and pregnancy (low SOE); evidence was insufficient for abortion rates. There were no differences between telehealth IPV services versus comparators for outcomes measuring repeat IPV, depression, post-traumatic stress disorder, fear of partner, coercive control, self-efficacy, and safety behaviors (low SOE). The COVID-19 pandemic increased telehealth utilization. Barriers to telehealth interventions included limited internet access and digital literacy among English-speaking IPV survivors, and technical challenges and confidentiality concerns for contraceptive care. Telehealth use was facilitated by strategies to ensure safety of individuals who receive IPV services. Evidence was insufficient to evaluate access, health equity, or harms outcomes. Conclusions. Limited evidence suggests that telehealth interventions for contraceptive care and IPV services result in equivalent clinical and patient-reported outcomes as in-person care. Uncertainty remains regarding the most effective approaches for delivering these services, and how to best mobilize telehealth, particularly for women facing barriers to healthcare.
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