Relevant bibliographies by topics / Human Behavior in Social Media

Contents

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

Academic literature on the topic 'Human Behavior in Social Media'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Human Behavior in Social Media"

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Ashraf, Noorulain, Danish Mahmood, Muath A. Obaidat, Ghufran Ahmed, and Adnan Akhunzada. "Criminal Behavior Identification Using Social Media Forensics." Electronics 11, no. 19 (2022): 3162. http://dx.doi.org/10.3390/electronics11193162.

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Human needs consist of five levels, which are: physiological needs, safety needs, love needs, esteem needs and self-actualization. All these needs lead to human behavior. If the environment of a person is positive, healthy behavior is developed. However, if the environment of the person is not healthy, it can be reflected in his/her behavior. Machines are intelligent enough to mimic human intelligence by using machine learning and artificial intelligence techniques. In the modern era, people tend to post their everyday life events on social media in the form of comments, pictures, videos, etc.
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Li, Quan, Wenbo Wei, Nian Xiong, Daici Feng, Xinyue Ye, and Yongsheng Jiang. "Social Media Research, Human Behavior, and Sustainable Society." Sustainability 9, no. 3 (2017): 384. http://dx.doi.org/10.3390/su9030384.

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Masur, Philipp K., Dominic DiFranzo, and Natalie N. Bazarova. "Behavioral contagion on social media: Effects of social norms, design interventions, and critical media literacy on self-disclosure." PLOS ONE 16, no. 7 (2021): e0254670. http://dx.doi.org/10.1371/journal.pone.0254670.

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Social norms are powerful determinants of human behaviors in offline and online social worlds. While previous research established a correlational link between norm perceptions and self-reported disclosure on social network sites (SNS), questions remain about downstream effects of prevalent behaviors on perceived norms and actual disclosure on SNS. We conducted two preregistered studies using a realistic social media simulation. We further analyzed buffering effects of critical media literacy and privacy nudging. The results demonstrate a disclosure behavior contagion, whereby a critical mass
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Tarai, Jope. "Social media ecology in an influencer group: Intersection between Fiji's media and social media." Pacific Journalism Review : Te Koakoa 30, no. 1and2 (2024): 140–51. http://dx.doi.org/10.24135/pjr.v30i1and2.1342.

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Social media use in Fiji has expanded in recent years and has become a ubiquitous feature in wider society. Social media ecology focusses and examines the dimensions of an online environment and its interplay with human experiences in user engagement. These dimensions with human experiences in user engagement, can provide an insight into how influential social media groups can become in shaping discourses and views. To examine and discuss the social media ecology of an influencer group, the article details one of Fiji’s largest and most influential online groups. To do this, the article uses d
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Subramanian, K. S., Vinita Sinha, Sonali Bhattacharya, Kaushik Chaudhary, and Ravi Kulkarni. "A Literature Review on Human Behavioral Pattern through Social Media Use." International Journal of Cyber Behavior, Psychology and Learning 3, no. 2 (2013): 56–81. http://dx.doi.org/10.4018/ijcbpl.2013040105.

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Behaviour Informatics constitutes behavioral data construction, impact modeling, simulation, presentation, measurement, evaluation and behavior pattern/network analysis. With the incumbent of social media and its growing significance in work and personal life, researches in last few years examined patterns of use of social media and cognitive behavior. The present study is a literature review considering choice of media, intensity of use, perceived richness, as some of the predicting factors of social media use. It also encompasses available literature on interrelationship between patterns of
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Rustam, Hinna, Muhammad Naseem Anwar, and Qaiser Iqbal. "Social Media Impact on Human Behaviour." Global Sociological Review VIII, no. II (2023): 15–29. http://dx.doi.org/10.31703/gsr.2023(viii-ii).03.

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This research study aims to investigate and identify the impact of social media platforms used by the youth in Pakistan. Results show that nearly 8 out of 10 respondents daily visit these platforms and 60% spend 1-3 hours daily on SM. 62% of respondents accepted that social media replaced face-to-face communication, leading to a lack of social interaction and a fear of missing out. Cyberbullying resulted in anxiety, fear, depression, low self-esteem, and behavioural issues. To address these impacts, stakeholders should focus on quality communication and interaction, organize and support social
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Mosleh, Mohsen, Gordon Pennycook, and David G. Rand. "Field Experiments on Social Media." Current Directions in Psychological Science 31, no. 1 (2021): 69–75. http://dx.doi.org/10.1177/09637214211054761.

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Online behavioral data, such as digital traces from social media, have the potential to allow researchers an unprecedented new window into human behavior in ecologically valid everyday contexts. However, research using such data is often purely observational, which limits its usefulness for identifying causal relationships. Here we review recent innovations in experimental approaches to studying online behavior, with a particular focus on research related to misinformation and political psychology. In hybrid lab-field studies, exposure to social-media content can be randomized, and the impact
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Dahiya, Sonika, Aditi Saluja, Parteek Singhal, and Rahul Johari. "Analysis of Online Social Behavior of Whatsapp Users." Webology 19, no. 1 (2022): 229–49. http://dx.doi.org/10.14704/web/v19i1/web19018.

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Whatsapp is the most popular social media platform that allows users to interact with each other by sending texts, emoji, images, voice notes, videos etc. Whatsapp users spend hours chatting with each other exchanging information and also sharing intimate feelings that are often touted as deep meaningful conversations. This paper focuses on the study of online social behavior of Whatsapp users which are primarily students in the age group of 18-25 years. 300Whatsapp chats from 30 university students have been collected and scrutinized to determine their online behavior in terms of being expres
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Pelet, Jean-Eric, and Panagiota Papadopoulou. "Consumer Behavior in the Mobile Environment." International Journal of Technology and Human Interaction 10, no. 4 (2014): 36–48. http://dx.doi.org/10.4018/ijthi.2014100103.

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Consumer behavior in the omnipresent mobile environment constitutes a challenge for m-commerce vendors, as they seek to understand factors that affect it, positively and negatively, and to integrate social media in their mobile strategy. This paper presents an exploratory qualitative study about the use of smartphones and social media, in the context of m-commerce. The authors' objective is to facilitate the understanding of consumers' perceptions and behavior in m-commerce and social media and explore the potential of social media for m-commerce purposes. The results of their qualitative anal
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Muhammed Jouhar K. K. and K. Aravinthan. "A bigdata analytics method for social media behavioral analysis." Scientific Temper 15, no. 03 (2024): 2692–99. http://dx.doi.org/10.58414/scientifictemper.2024.15.3.37.

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Twitter on web-based entertainment has become an important part of everyday life. This medium provides a list of current events in real time, most of which is difficult to understand, so it must be sorted to find useful information. Human biology, pharmacology, and experimental factors influence their behavior. Twitter tweets are a text store that can reflect human emotions and sentiments. Behavior Analytics (BA) is analyzing the behavior of individuals. BA can be used to filter useful information from tweets in healthcare and business applications. This paper presents the analysis of human be
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Dissertations / Theses on the topic "Human Behavior in Social Media"

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Gips, Jonathan Peter. "Social motion : mobile networking through sensing human behavior." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37384.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.<br>"September 2006."<br>Includes bibliographical references (leaves 62-65).<br>Low-level sensors can provide surprisingly high-level information about social interactions. The goal of this thesis is to define the components of a framework for sensing social context with mobile devices. We describe several sensing technologies - including infrared transceivers, radio frequency scanners, and accelerometers - that both capture social signals and meet the design cons
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Zimmerman, Tara D. "Examining Human Information Behavior on Social Media: Introducing the Concept of Social Noise." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707349/.

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Social media information behavior is increasingly critical, impacting not only individuals and groups but the beliefs, values, and direction of society and culture. The purpose of this study was to investigate how persistent observation by members of the online network influences social media users' information behavior, resulting in the phenomenon of social noise. Data analytics, including LDA, LSA, and clustering methodologies, were performed but could not provide information about the users' motivations. Using an ethnographic approach, participant observations and interviews were conducted
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Meegama, Nileeni. "Effects of mood on media research surveys /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9717170.

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Cody, Emily. "Mathematical Modeling of Public Opinion using Traditional and Social Media." ScholarWorks @ UVM, 2016. http://scholarworks.uvm.edu/graddis/620.

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With the growth of the internet, data from text sources has become increasingly available to researchers in the form of online newspapers, journals, and blogs. This data presents a unique opportunity to analyze human opinions and behaviors without soliciting the public explicitly. In this research, I utilize newspaper articles and the social media service Twitter to infer self-reported public opinions and awareness of climate change. Climate change is one of the most important and heavily debated issues of our time, and analyzing large-scale text surrounding this issue reveals insights surroun
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Zhu, Ruoxin [Verfasser], Liqiu [Akademischer Betreuer] Meng, Liqiu [Gutachter] Meng, and Dirk [Gutachter] Burghardt. "Perception of social-event-induced human behavior from geotagged social media data / Ruoxin Zhu ; Gutachter: Liqiu Meng, Dirk Burghardt ; Betreuer: Liqiu Meng." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1220321427/34.

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Yang, Dingqi. "Understanding human dynamics from large-scale location-centric social media data : analysis and applications." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0002/document.

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La dynamique humaine est un sujet essentiel de l'informatique centrée sur l’homme. Elle se concentre sur la compréhension des régularités sous-jacentes, des relations, et des changements dans les comportements humains. En analysant la dynamique humaine, nous pouvons comprendre non seulement des comportements individuels, tels que la présence d’une personne à un endroit précis, mais aussi des comportements collectifs, comme les mouvements sociaux. L’exploration de la dynamique humaine permet ainsi diverses applications, entre autres celles des services géo-dépendants personnalisés dans des scén
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Yang, Dingqi. "Understanding human dynamics from large-scale location-centric social media data : analysis and applications." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0002.

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La dynamique humaine est un sujet essentiel de l'informatique centrée sur l’homme. Elle se concentre sur la compréhension des régularités sous-jacentes, des relations, et des changements dans les comportements humains. En analysant la dynamique humaine, nous pouvons comprendre non seulement des comportements individuels, tels que la présence d’une personne à un endroit précis, mais aussi des comportements collectifs, comme les mouvements sociaux. L’exploration de la dynamique humaine permet ainsi diverses applications, entre autres celles des services géo-dépendants personnalisés dans des scén
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Young, James. "The Current Status of Social Media use among Nonprofit Human Service Organizations: An Exploratory Study." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2723.

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Social media has proliferated throughout the nonprofit sector over the last five years and organizations use these new tools in a variety of ways. Little research is available on the use of social media within nonprofit human service organizations (HSO) specifically. This study is one of the first of its kind to explore how and why human service organizations are using social media. The aim of this study is to understand the current status of social media use among nonprofit human service organizations by exploring and describing the social media platforms in use, associated practices with soc
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Grindle, Mark. "The power of digital storytelling to influence human behaviour." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21800.

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The aim of this multi-disciplinary research was to explore the power of digital, interactive or participatory storytelling to influence human behaviour in the context of public health. It addressed three related questions: RQ1: Does digital storytelling have the power to influence human behaviour? RQ2: If digital storytelling can influence human behaviour then how might it do so? RQ3: Is a ‘digital storytelling framework’ feasible as an approach to behaviour change? Four linked qualitative studies were conducted: a scoping review, in-depth interviews with 11 international ‘digital storytellers
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Dahlqvist, Veronica. "Why is the bird (re)tweeting? : Creating a simulation of retweeting behaviour on Twitter." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129352.

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Social media is a big part of today’s society. But how do we know where the information we put out on the internet end up? This bachelor thesis is part of a bigger project where first year students at the cognitive science program at Linköping University will be taught about modeling of a social phenomenon. A lot can be learned about a phenomenon through modeling and simulation and that was the motivation for this bachelor thesis – to try to make a simulation of the spreading of information on social media. The social media platform that was selected was Twitter and the information spreading w
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Books on the topic "Human Behavior in Social Media"

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Meiselwitz, Gabriele, ed. Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8.

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Meiselwitz, Gabriele, ed. Social Computing and Social Media. Design, Human Behavior and Analytics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21902-4.

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Savat, David. The uncoding the digital: Technology, subjectivity and action in the control society. Palgrave Macmillan, 2012.

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Fu, Yun, ed. Human-Centered Social Media Analytics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05491-9.

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D, Hutchison Elizabeth, ed. Dimensions of human behavior. Sage Publications, 2008.

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Richard, Scase, ed. Managing creativity: The dynamics of work and organization. Open University Press, 2000.

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D, Hutchison Elizabeth, ed. Dimensions of human behavior. 2nd ed. Sage Publications, 2003.

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D, Hutchison Elizabeth, and Kowalski Shelley, eds. Dimensions of human behavior. Pine Forge Press, 1999.

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Wodarski, John S. Introduction to human behavior. PRO-ED, 1985.

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1981-, Lin W. Sabrina, and Liu, K. J. Ray, 1961-, eds. Behavior dynamics in media-sharing social networks. Cambridge University Press, 2011.

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Book chapters on the topic "Human Behavior in Social Media"

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Abdul Aziz Bin Husainan, Lamia, Hanan Ali AL-Shehri, and Muna Al-Razgan. "Investigating Arab DHH Usage of YouTube Videos Using Latent Variables in an Acceptance Technology Model." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_1.

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O. Bertholdo, Ana Paula, Claudia de O. Melo, and Artur S. Rozestraten. "Improving Engagement Metrics in an Open Collaboration Community Through Notification: An Online Field Experiment." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_10.

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Rusu, Virginica, Cristian Rusu, Daniela Quiñones, Silvana Roncagliolo, and César A. Collazos. "What Happens When Evaluating Social Media’s Usability?" In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_11.

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Rusu, Cristian, Virginia Zaraza Rusu, Patricia Muñoz, Virginica Rusu, Silvana Roncagliolo, and Daniela Quiñones. "On User eXperience in Virtual Museums." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_12.

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Coman, Adela, Ana-Maria Grigore, and Oana Simona Caraman Hudea. "Why Social Media Is an Achilles Heel? A Multi-dimensional Perspective on Engaged Consumers and Entrepreneurs." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_13.

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Heales, Jon, Sophie Cockcroft, and Van-Hau Trieu. "The Influence of Privacy, Trust, and National Culture on Internet Transactions." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_14.

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Iwasaki, Sachiko, Ko Hashimoto, Kohei Otake, and Takashi Namatame. "Analysis of Trade Area for Retail Industry Store Using Consumer Purchase Record." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_15.

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Opresnik, Marc Oliver. "From Bowling to Pinball: Understanding How Social Media Changes the Generation of Value for Consumers and Companies." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_16.

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Rusu, Virginica, Cristian Rusu, Daniel Guzmán, Silvana Roncagliolo, and Daniela Quiñones. "Online Travel Agencies as Social Media: Analyzing Customers’ Opinions." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_17.

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Saijo, Naoya, Kohei Otake, and Takashi Namatame. "Analysis of Cancellation Factors Based on the Characteristics of Golf Courses in Reservation Sites." In Social Computing and Social Media. Human Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58559-8_18.

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Conference papers on the topic "Human Behavior in Social Media"

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Gita Gayatri, Nyoman Ayu, and Dian Anggraini Kusumajati. "Emotional Intelligence and Responsible Social Media Behavior." In 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2024. http://dx.doi.org/10.1109/iccit62134.2024.10701214.

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Hridi, Anika Tahsin, Shad Abdullah, Md Amrin Ibna Hasnath, Rashida Hossain Adiba, Samia Proma, and Rashedur M. Rahman. "Identifying Threats on Social Media to Spot Offensive Behavior." In 2024 IEEE 12th International Conference on Intelligent Systems (IS). IEEE, 2024. http://dx.doi.org/10.1109/is61756.2024.10705230.

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Kohli, Shruti, and Ankit Gupta. "Modeling anonymous human behavior using social media." In 2014 9th International Conference for Internet Technology and Secured Transactions (ICITST). IEEE, 2014. http://dx.doi.org/10.1109/icitst.2014.7038846.

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Matei, Sorin, Rajesh Kalyanam, Lan Zhao, and Carol Song. "Social Media Modeling of Human Behavior in Natural Emergencies." In PEARC '18: Practice and Experience in Advanced Research Computing. ACM, 2018. http://dx.doi.org/10.1145/3219104.3219140.

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De Choudhury, Munmun, Scott Counts, and Eric Horvitz. "Predicting postpartum changes in emotion and behavior via social media." In CHI '13: CHI Conference on Human Factors in Computing Systems. ACM, 2013. http://dx.doi.org/10.1145/2470654.2466447.

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Markella Petropoulou, Foteini, and Emmanuel Varouchas. "Cracking the Code: How Social Media and Human Behavior Shape Cybersecurity Challenges." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004783.

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In an era dominated by digital connectivity, where people are more connected than ever, understanding how humans can securely interact is crucial. This paper delves into the intricate relationship between social engineering and social media, unraveling the multifaceted dimensions that underscore the human aspects of cybersecurity. As technological defenses evolve, adversaries increasingly exploit the vulnerabilities inherent in human behavior (Wang et al., 2020), making it imperative to dissect the interplay between social engineering tactics and the pervasive influence of social media platfor
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Pan, Shimei, and Tao Ding. "Social Media-based User Embedding: A Literature Review." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/881.

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Automated representation learning is behind many recent success stories in machine learning. It is often used to transfer knowledge learned from a large dataset (e.g., raw text) to tasks for which only a small number of training examples are available. In this paper, we review recent advance in learning to represent social media users in low-dimensional embeddings. The technology is critical for creating high performance social media-based human traits and behavior models since the ground truth for assessing latent human traits and behavior is often expensive to acquire at a large scale. In th
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Liao, Shu-hsien, and Yao-hsuan Yang. "Social media and internet celebrity for social commerce intentional and behavioral recommendations." In Human Interaction and Emerging Technologies (IHIET-FS 2025): Future Systems and Artificial Intelligence Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe1005967.

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Social media is an online media platform based on interests and creative content formed by a group of Internet users. Internet celebrities are people who become famous on the Internet, increasing their popularity by their social networking or video websites. Social commerce (s-ecommerce) is the combination of social relations and commercial transaction activities. The combination of social media and Internet celebrities is an emerging model for the development of s-ecommerce. Recommendation systems are an effective alternative to search algorithms because they help users find items that they a
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Liao, Shu-hsien, and Yao-hsuan Yang. "Social media and internet celebrity for social commerce intentional and behavioral recommendations." In Human Interaction and Emerging Technologies (IHIET-FS 2025): Future Systems and Artificial Intelligence Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe10059725967.

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Social media is an online media platform based on interests and creative content formed by a group of Internet users. Internet celebrities are people who become famous on the Internet, increasing their popularity by their social networking or video websites. Social commerce (s-ecommerce) is the combination of social relations and commercial transaction activities. The combination of social media and Internet celebrities is an emerging model for the development of s-ecommerce. Recommendation systems are an effective alternative to search algorithms because they help users find items that they a
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Saha, Koustuv, Raghu Mulukutla, Kari Nies, et al. "Imputing Missing Social Media Data Stream in Multisensor Studies of Human Behavior." In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2019. http://dx.doi.org/10.1109/acii.2019.8925479.

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Reports on the topic "Human Behavior in Social Media"

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Riva, Giuseppe. How social media is reshaping human connection. Edited by Giuseppe Francaviglia. Monash University, 2024. http://dx.doi.org/10.54377/2d98-7313.

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Adegoke, Damilola, Natasha Chilambo, Adeoti Dipeolu, Ibrahim Machina, Ade Obafemi-Olopade, and Dolapo Yusuf. Public discourses and Engagement on Governance of Covid-19 in Ekiti State, Nigeria. African Leadership Center, King's College London, 2021. http://dx.doi.org/10.47697/lab.202101.

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Numerous studies have emerged so far on Covid-19 (SARS-CoV-2) across different disciplines. There is virtually no facet of human experience and relationships that have not been studied. In Nigeria, these studies include knowledge and attitude, risk perception, public perception of Covid-19 management, e-learning, palliatives, precautionary behaviours etc.,, Studies have also been carried out on public framing of Covid-19 discourses in Nigeria; these have explored both offline and online messaging and issues from the perspectives of citizens towards government’s policy responses such as palliat
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Padilla Vergara, Tatiana, Enrique Carlos Urzola Mestra, and David José Hernández Hoyos. Psychological aspects of human behavior. Ediciones Universidad Cooperativa de Colombia, 2023. https://doi.org/10.16925/gcnc.88.

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This class note presents the topics and units of study developed in the course “Psychological Aspects of Human Behavior.” The document briefly describes the theorists and authors that students should consider to better understand the concepts being studied, providing tools to professionals in the social sciences to comprehend the fundamental principles of human behavior (psychobiological, emotional, behavioral, and cognitive), and the practical application of some of these concepts in everyday social contexts, from a critical and competency-based educational methodology.
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Silva, Martha, and Jonathan Walker. How to leverage social listening to inform social and behavior change programs. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1034.

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Developed by Breakthrough RESEARCH, this guide will provide social and behavior change (SBC) program implementers, as well as monitoring, evaluation, and research practitioners with information needed to apply social media monitoring and social listening techniques to inform and evaluate campaigns that make use of social media platforms and other internet-based channels, and highlights where additional or external resources, partnerships, or tools may be needed.
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Bessone, Pedro, Filipe Campante, Claudio Ferraz, and Pedro Souza. Social Media and the Behavior of Politicians: Evidence from Facebook in Brazil. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30306.

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OFFICE OF NAVAL RESEARCH ARLINGTON VA. Human Social Culture Behavior Modeling Program Newsletter. Volume 1. Issue 1, Spring 2009. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada496310.

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Hartley III, Dean S. Human, Social, Cultural Behavior (HSCB) Modeling Workshop I: Characterizing the Capability Needs for HSCB Modeling. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada488073.

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Del Valle, Sara Y. Understanding the Impact of Human Behavior and Heterogeneous Mixing Patterns on Social Networks & Epidemics. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1086766.

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Cancini-Dugarte, Mary. An excellent study of social media and its positive and negative effects on human being’s mental health. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-177.

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Hossain, Sumaiya, and Wahid bin Ahsan. Impact of Social Media Reels and Short Videos on Self-Esteem, Behavior, and Mental Health Among Bangladeshi Teenagers. Userhub, 2024. http://dx.doi.org/10.58947/journal.zbvn23.

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Abstract:
This study investigates the impact of social media reels and short videos, particularly on platforms like TikTok and Instagram, on the self-esteem and social behavior of Bangladeshi teenagers. Utilizing a qualitative case study design, we conducted in-depth interviews with 15 participants, including 13 teenagers, an educator, and a social media expert from urban areas in Bangladesh. The findings reveal that exposure to curated, idealized content on these platforms fosters social comparison, contributing to lowered self-esteem, especially among female participants. The algorithm-driven nature o
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