Dissertations / Theses on the topic 'User Generated Content (UGC)'
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Kim, Jin. "User-generated content (UGC) revolution?: critique of the promise of YouTube." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/529.
Full textNilsson, Tobias, and Elias Tilander. "User Experience Mål för UGC-Tjänster : En studie om användarens upplevelse av användargenererat innehåll." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4645.
Full textUppkomsten av dagens Web 2.0 har skapat möjligheter till större interaktivitet hos användarna. Denna utveckling har även följts av en möjlighet att skapa användargenererat innehåll, ett fenomen som benämns User Generated Content (UGC). En av de viktigaste aspekterna inom UGC är att det måste uppnå en god användbarhet, men likväl måste tjänsterna också erbjuda en rik subjektiv upplevelse. Denna subjektiva upplevelse benämns som User Experience och är ett uttryck för den upplevelse och tillfredställelse en användare känner då den ställs inför ett interaktivt gränssnitt. Syftet med uppsatsen var att identifiera User Experience av UGC-tjänster. Uppsatsen karaktäriseras av en kvalitativ ansats och grundar sig i en explorativ undersökning med loggböcker och intervjuer, där nio respondenters upplevelser ligger till grund för uppsatsens resultat. Uppsatsen bidrar med en modell över User Experience mål för UGC-tjänster. Modellen bidrar till en ökad förståelse för vad som utgör en god User Experience av en UGC-tjänst och kan på så vis vara vägledande för de som designar dessa typer av tjänster.
Lindgren, Natalie. "USER GENERATED CONTENT IN THE DESTINATION IMAGE PRESENTATION : THE DESTINATION VIENNA." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-86151.
Full textFredriksson, Alice, Linnea Hallgren, and Malin Vall. "What motivates you? : Exploring the underlying motivational factors for participation in UGC contests on Instagram." Thesis, Jönköping University, IHH, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52716.
Full textHallgren, Joseph, Kristján Sigurbjörnsson, and Jr Twan Black. "The Relationship Between Brand Related UGC and CBBE : An Internet Meme Experiment." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76001.
Full textMartín, Fuentes Eva. "Tourism Surveying from Social Media: The Validity of User-Generated Content (UGC) for the Characterization of Lodging Rankings." Doctoral thesis, Universitat de Lleida, 2018. http://hdl.handle.net/10803/650336.
Full textEl objetivo de esta investigación consiste en determinar si el contenido generado por los usuarios en webs relacionadas con la industria del alojamiento valida los sistemas de clasificación de cualquierestablecimiento y plataforma de alojamiento para crear un sistema internacional de clasificación de hoteles que pueda servir también para categorizar cualquier tipo de alojamiento. Esta memoria presenta el trabajo llevado a cabo a través de la descarga y el análisis de cerca de cuarenta millones de reseñas sobre hoteles de todo el mundo descargadas desde TripAdvisor y Booking.com. Por un lado, esta investigación se centra en analizar la información brindada por los usuarios con sus valoraciones sobre establecimientos de alojamiento para comparar sus puntuaciones y determinar que la posición que ocupan los hoteles en el ranking está muy relacionada entre TripAdvisor y Booking.com. Por el otro, la investigación consiste en el análisis de los sistemas de clasificación de hoteles, demostrando que existe una relación entre las valoraciones de los usuarios y las categorías de hoteles en todo el mundo, de tal manera que las categorías se pueden predecir a partir del contenido generado por los usuarios en internet, entre otros parámetros. Finalmente, a través de técnicas de aprendizaje automático, esta tesis crea un modelo que permite clasificar los establecimientos de alojamiento ya sean tradicionales o plataformas de alojamiento colaborativo, como Airbnb, para que converjan los diferentes sistemas de clasificación de todo el mundo.
The aim of this research is to determine whether online User-Generated Content (UGC) about the lodging industry validates the ranking system of any accommodation property or platform in order to create an international hotel classification system that may also serve to categorize any type of accommodation. This thesis presents the work carried out following the collection and analysis of nearly 40 million reviews of hotels worldwide downloaded from TripAdvisor and Booking.com. On the one hand, this research focuses on the analysis of information provided by users, and specifically their reviews of accommodation properties, to compare their scores and to determine whether the position of a hotel in both ranking systems is closely related. On the other hand, the research consists of the analysis of hotel classification systems. It demonstrates that although international classification systems are not unified, there is a relationship between users’ ratings and hotel categories worldwide. Consequently, categories can be predicted from UGC on the Internet, among other parameters. Finally, through machine learning, this thesis creates a model that allows accommodation properties, whether on traditional or collaborative hosting platforms (e.g., Airbnb), to be classified in such a way that different classification systems worldwide are consistent.
Bolin, Olsson Hannes, and Vries Simon de. "The usage of consumer generated advertising and its effect on receivers’ attitudes. : A study based on Doritos “crash the super bowl”-contest." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-43894.
Full textYelijiang, Arefujiang. "Judging A Photograph : Analyzing destination choice based on user-generated content on social media." Thesis, Linnéuniversitetet, Institutionen för organisation och entreprenörskap (OE), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-65802.
Full textLundmark, Joakim, and Lindberg Eric Sandström. "The effects of intrinsic motivation, extrinsic motivation and toolkits onuser participation in User-generated content for video games: : A quantitative study of product development in online communities." Thesis, Umeå universitet, Företagsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105705.
Full textSalehi, Esfahani Saba. "Investigating Information Adoption Tendencies of Restaurants' User-Generated Content Utilizing a Hypothesized Information Adoption Model." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1433248021.
Full textAmnell, Mathias, and Martin Öhman. "Samband mellan motivationsfaktorer för UGC : Vad motiverar en användare att skapa innehåll på internet?" Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15577.
Full textUser Generated Content (UGC) is becoming increasingly common on the web and many of the most frequently visited websites on the Internet is largely based on content created by its users. Every day 120,000 articles gets edited on Wikipedia by its devoted users who spend an average of eight hours a week on creating new or edit existing material. To motivate users to contribute with content is becoming increasingly important. This requires an increased understanding of what motivates users to contribute. In this paper we study the motivational factors that motivates users to contribute with UGC and if there is any correlation between these motivational factors. A literature review of previous research in the field of UGC is performed and results in 15 motivational factors categorized into four categories. These are presented in a matrix that structures the motivation factors in the different categories. The matrix of the 15 motivational factors are the theoretical foundation for a quantitative survey designed to see to what extent users are motivated by different motivational factors for the creation of UGC. Through the survey we establish an understanding to what extent different motivational factors motivate the participiants of the study to create UGC. The results from the survey are then used to study the relationships between motivational factors. This leads to a correlation table that presents all the significant relationships between factors and a motivation matrix that can serve as a basis for understanding and discuss the motivators for the UGC and its categorizations. Our results may help developers to support multiple motivational factors in services based on UGC. The motivation matrix and the results presented may also be the basis for future research.
Gupta, Debjit. "Essays on the Management of Online Platforms: Bayesian Perspectives." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99603.
Full textDoctor of Philosophy
The 21st century has witnessed the rise of the platform economy. Consumers routinely interact with online platforms ways in their day to day activities. For instance, they interact with platforms such as Quora, StackOverflow, Uber, and Airbnb to name only a few. Such platforms address a variety of needs starting from providing users with answers to a variety of questions to matching them with a range of service providers (e.g., for travel and dining needs). However, the rapid growth of the platform economy has created a knowledge gap for both consumers and platforms. The three essays in this dissertation attempt to contribute to the literature in this area. The first essay, "Incentivizing User-Generated Content—A Double-Edged Sword: Evidence from Field Data and a Controlled Experiment," examines how crowdsourcing contests influence the quantity and quality of user-generated content (UGC). Analyzing data from the popular question and answer website Quora, we find that offering monetary incentives to stimulate UGC contributions increases contributions but also has a simultaneous damping effect on peer endorsement, which is an important source of non-monetary recognition for UGC contributors in prosocial contexts. The second essay, "Matching and Making in Matchmaking Platforms: A Structural Analysis," examines matchmaking platforms, focusing on the problem of misaligned incentives between the platform and the agents. Based on data from the Ultimate Fighting Championship (UFC) on fighter characteristics, and pay-per-view revenues associated with specific bouts, we identify the potential for conflicts of interest and examine strategies that may be used to mitigate such problems. The third essay, "Matching and Making in Matching Markets: A Managerial Decision Calculus," extends the empirical model and analytical work to a class of commonly encountered one-sided matching market problems. It provides the conceptual outline of a decision calculus that allows managers to explore the revenue and profitability implications of adaptive changes to the tier structures and matching algorithms.
Alhouaidy, Zahra. "Att sprida upphovsrättsligt skyddat material på YouTube : Om användarnas motivation att ladda upp upphovsrättsskyddat material." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-18951.
Full textWiandt, Lotta, and Pernilla Bredberg. "Säger en bild mer än tusen ord? : -En turismvetenskaplig studie om maktfördelning genom nya marknadsföringskanaler." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85656.
Full textIn this study destination management organizations (DMO) surrounding Lake Vänern have been studied and specifically how they incorporate social media in their marketing.The aim of the study was to study how the use of social media as a marketing tool can lead to a transfer of power and in prolongation affect a place brand. We have also had an interest in studying how co-creation of messages on social media can lead to a distribution of power to increase a “place” competitiveness and visibility. The study concerns concepts such as user generated content (UGC), hashtags and storytelling which are tools connected to distribution of power and marketing of a “place”.The study is based on a qualitative survey study performed by respondents from destination management organizations within the destinations surrounding Vänern and also a visual observation of the study's respondents' social media. Our collected data has generated knowledge on how destinations are working with social media as a marketing tool and also how they use the accessible tools that social media offer. Our analysis is inspired by a model that is based on four concepts connected to social media that we have chosen to adapt to our theoretical framework. Among other things the model creates a framework for DMO as a help to strengthen their place brand. The framework consists of brand image, mobility, co-creation and storytelling and contributes with knowledge of how destinations can use the content that the users of social media creates and shares. The study shows that the respondent destinations are in control of their brand, there has not been a transfer of power in the meaning that the visitors are in control of the brand image. However, co-creation and distribution of power of the destination brand to strengthen a place's competitiveness is an underutilized tool. The study also shows that respondent destinations are active on social media, however we experience differences in how they co-create with visitors and their commitment in engaging with visitors.
Ketola, Rebecca, and Sandra Norrman. "DO CONSUMERS BELIEVE EACH OTHER ONLINE? : A study of how consumers assess credibility of brand-related UGC." Thesis, Umeå universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-162456.
Full textThetsidaeng, Chotima. "User-generated content and Copyright Dilemma in Web 2.0 Era : Should the Specific Exception be introduced in The EU?" Thesis, Uppsala universitet, Juridiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385452.
Full textGoerlich, Franz. "Konzeption und Entwicklung einer E-Learning-Lektion zur Arbeit mit der Kartenherstellungssoftware OCAD." Bachelor's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-86200.
Full textJohnston, Lisette May. "Reporting the Syria conflict on television (2011-2014) : how the use of user generated content (UGC) has shaped BBC World News TV coverage and affected journalistic practices." Thesis, City, University of London, 2016. http://openaccess.city.ac.uk/18077/.
Full textLeiser, Mareike, and Carola Gensert. "The role of authenticity of user-generated content as part of the product presentation in an online shop : A qualitative study of the empirical case of H&M." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-43858.
Full textHolm, Filip, and Susanne Lindberg. "Användarskapat innehåll som läsarna vill ha : en studie bland läsare av webbtidningar." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15572.
Full textUser Generated Content (UGC) has, with the fast-paced technological development, become increasingly popular in online newspapers. It is considered a competitive advantage but might entail risks for the newspapers, not in the least cost-wise. Thus it becomes important to invest in the UGC readers want, but what this encompasses is not a widely explored subject. This essay intends to answer what UGC readers of online newspapers prefer and why they prefer this particular content. On the basis of a literature study five aspects that can help describe UGC were identified. A diary study resulted in the identification of nine themes based on which it was possible to corroborate four of the aspects as well as identify a further five aspects that appeared to affect how readers view UGC.
Dylko, Ivan B. "Explication of Political User-Generated Content and Theorizing about Its Effects on Democracy with a Mix-of-Attributes Approach and Documenting Attribute Presence with a Quantitative Content Analysis." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306516081.
Full textPauve, Leonard. "Sociala Medier – Utifrån ett marknadsperspektiv." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-79594.
Full textKatz, Philipp. "Extraktion geographischer Entitäten zur Suche nutzergenerierter Inhalte für Nachrichtenereignisse." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-154879.
Full textBjelm, Petter, and Mark Wibom. "Live Video Exploration - Exploring environments using live video, mobile devices and unacquainted users." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23385.
Full textHutchinson, Jonathon P. "Collaboration, connections and consequences : a study of cultural intermediation within the ABC Pool institutional online community." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/64476/1/Jonathon_Hutchinson_Thesis.pdf.
Full textCzeszejko, Rafael, and Pettersson Sophia Zhang. "New Product Introductions, what gets people talking? : Quantitative study on e-Word-of-Mouth & Customer Engagement." Thesis, Stockholms universitet, Marknadsföring, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-197450.
Full textNilsson, Karin H. "Framework for Enabling User-Generated Content." Thesis, Umeå universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-58059.
Full textDespotakis, Dimoklis. "Modelling viewpoints in user generated content." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/5754/.
Full textLorenz, Anja. "Rückführung von User Generated Content in Lernmaterialien." Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-82007.
Full textMcCreadie, Richard. "News vertical search using user-generated content." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3813/.
Full textTimoshenko, Artem. "Identifying customer needs from user-generated content." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/109648.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 23-24).
Understanding customer needs is an important part of marketing strategy, product development, and marketing research. The explosive growth of user-generated content (UGC) creates an opportunity to enhance industry-standard interview-based approaches for identifying customer needs. However, the traditional manual review approach is neither efficient nor effective when applied to a large UGC corpus because non-informative and repetitive content crowd out information about customer needs. We identify customer needs from UGC by combining machine learning methods to select content for review with human judgement to formulate customer needs. In particular, we use a convolutional neural network to filter out non-informative content and dense sentence representations to identify sufficiently different sentences for manual review. An empirical proof-of-concept compares customer needs for oral care products identified from online reviews (UGC) with customer needs identified by a third-party professional consulting firm using industry-standard methods. In this application, UGC identifies additional customer needs, unreachable by the interview-based approach. Our approach improves efficiency of manual review in terms of a number of unique customer needs per unit effort.
by Artem Timoshenko.
S.M. in Management Research
Міщенко, Марина Миколаївна. "User generated content як особливість інтернет-культури." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/42522.
Full textNagarajan, Bala Meenakshi. "Understanding User-Generated Content on Social Media." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1284152205.
Full textVera, Denys. "User generated content for IMS-based IPTV." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/11933.
Full textIncludes bibliographical references.
Web 2.0 services have been on the rise due to improved bandwidth availability. Users can now connect to the internet with a variety of portable devices which are capable of performing multiple tasks. Due to this, services such as Voice over IP (VoIP), presence, social networks, instant messaging (IM) and Internet Protocol television (IPTV) to mention but a few, started to emerge...This thesis proposed a framework that will offer user-generated content on an IMS-Based IPTV and the framework will include a personalised advertising system...
Mudau, Sipho. "The copyright protection of online user-generated content." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/12935.
Full textOnline social networking sites such as Facebook and YouTube allow creative works to be more easily copied and distributed. This type of content is generally referred to as user-generated content and its creation has become a major component of our daily routine. As a result, user-generated content has the potential to influence not just the nature of social interactions but methods of doing business. The advent of user-generated content poses new challenges to copyright law, the conventional medium of protecting these creative works. The global reach of the internet and the increasing ease of access thereto make infringement of original material more likely and more frequent. User-generated content is also surrounded by legal uncertainty in the areas of defamation and privacy. It is beyond the scope of this paper to deal in any depth with these issues. This dissertation will focus on the implications of user-generated content within the realm of copyright. Specifically, this paper examines whether South African copyright law, in its present state, adequately protect the rights and interests of content creators on one end and website owners and proprietors on the other. This assessment will be guided, in part, by judicial precedent and legislative policies adopted in other jurisdictions.
Hahmann, Stefan. "Zur Beziehung von Raum und Inhalt nutzergenerierter geographischer Informationen." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-148835.
Full textWährend der vergangenen zehn Jahre vollzog sich eine signifikante Veränderung des World Wide Webs, das sich zum sogenannten „Web 2.0“ entwickelte. Das wesentlichste Merkmal dieser neuen Qualität des WWW ist die Beteiligung der Nutzer bei der Erstellung der Inhalte. Diese Entwicklung fördert das Entstehen von Nutzergemeinschaften, die kollaborativ in unterschiedlichsten Projekten Informationen sammeln und veröffentlichen. Prominente Beispiele für solche Projekte sind die Online-Enzyklopädie „Wikipedia“, die Microblogging-Plattform „Twitter“, die Foto-Plattform „Flickr“ und die Sammlung topographischer Informationen „OpenStreetMap“. Nutzergenerierte Inhalte, die direkt oder indirekt raumbezogen sind, können spezifischer als „nutzergenerierte geographische Informationen“ bezeichnet werden. Der Raumbezug dieser Informationen entsteht entweder direkt durch die Angabe räumlicher Koordinaten als Metainformationen oder er kann indirekt durch die Georeferenzierung von in den Informationen enthaltenen Toponymen oder Adressen hergestellt werden. Nutzergenerierte geographische Informationen haben für die Forschung den besonderen Vorteil, dass sie einerseits häufig gänzlich ohne oder nur mit geringen Kosten verfügbar gemacht werden können und andererseits eine Vielzahl von menschlichen Entscheidungen widerspiegeln, die mit dem Raum verknüpft sind. In der vorliegenden Dissertation wird die Beziehung von Raum und Inhalt nutzergenerierter geographischer Informationen aus zwei Perspektiven untersucht. Im ersten Teil der Arbeit steht die Frage im Vordergrund, für welchen Anteil an Informationen eine Beziehung zwischen Raum und Informationsinhalt in der Art besteht, dass die Informationen im Georaum lokalisierbar sind. In diesem Zusammenhang existiert seit den 1980er Jahren die unter Nutzern von geographischen Informationssystemen weit verbreitete These, dass 80% aller Informationen einen Raumbezug haben. Diese These dient im gesamten Spektrum der Branche als Marketinginstrument, ist jedoch nicht empirisch belegt. Diese Arbeit trägt dazu bei, die bestehende Forschungslücke zu schließen. Für die Prüfung dieser These, die in der Arbeit als „Raumbezugshypothese“ bezeichnet wird, werden zwei Ansätze vorgestellt. Der erste Ansatz basiert auf der Analyse eines möglichst repräsentativen Informationskorpus, wofür die deutsche Sprachversion der Wikipedia ausgewählt wird. Diese wird als Informationsnetzwerk modelliert, indem deren Artikel als Knoten und deren interne Querverweise als Kanten eines gerichteten Graphen betrachtet werden. Mit Hilfe dieses Netzwerkes ist es möglich eine abgestufte Definition des Raumbezuges von Informationen einzuführen, indem die Entfernung jedes Artikels innerhalb des Netzwerkes zum jeweils nächstgelegenen Artikel, der mit räumlichen Koordinaten gekennzeichnet ist, berechnet wird. Parallel dazu wird ein Befragungsansatz entwickelt, bei dem Probanden die Aufgabe haben, Informationen in die Kategorien „Direkter Raumbezug“, „Indirekter Raumbezug“ und „Kein Raumbezug“ einzuordnen. Die Synthese beider Ansätze führt zu einer empirisch begründeten Zahl für die „Raumbezugsthese“. Das Ergebnis ist, dass für das Untersuchungskorpus Wikipedia 27% der Informationen als direkt raumbezogenen und 30% der Informationen als indirekt raumbezogen kategorisiert werden können. Im zweiten Teil der Arbeit wird die Forschungsfrage untersucht, inwiefern nutzergenerierte Informationen, die über mobile Geräte erzeugt werden, in Beziehung zu den Orten stehen, an denen sie veröffentlicht werden. Als Forschungskorpus dienen mobil verfasste Microblogging-Texte. Dies sind kurze Texte, die über das WWW veröffentlicht werden. Bei dieser Informationsart liegt im Gegensatz zu beispielsweise topographischen Information oder Fotobeschreibungen die Vermutung eines starken Zusammenhanges zwischen dem Inhalt der Informationen und deren Positionen nicht nahe. Die Analyse von Microblogging-Texten bietet unter anderem Potential für die Markt- und Meinungsforschung, die Beobachtung von Naturereignissen und menschlichen Aktivitäten sowie die Entscheidungsunterstützung in Katastrophenfällen. Aus der räumlichen Auswertung kann sich dabei ein Mehrwert ergeben, für einen Teil der Anwendungen ist die räumliche Auswertung sogar die notwendige Voraussetzung. Aus diesem Grund ist die Erforschung des Zusammenhanges der veröffentlichten Inhalte mit den Orten, an denen diese entstehen, von Interesse. In der Arbeit werden eine Methoden vorgestellt, mit deren Hilfe die Untersuchung dieser Korrelation am Beispiel von klassifizierten Points of Interest durchgeführt wird. Zu diesem Zweck werden die Texte mit Hilfe von manueller Klassifikation und maschineller Sprachverarbeitung entsprechend ihrer Relevanz für die getesteten Objektklassen klassifiziert. Anschließend wird geprüft, ob der Anteil der relevanten Texte in der Nähe von Objekten der getesteten Klassen überdurchschnittlich hoch ist. Die Ergebnisse der Untersuchungen zeigen, dass die Stärke der Raum-Inhalt-Korrelation von den getesteten Objektklassen abhängig ist. Während sich beispielsweise bei Bahnhöfen, Flughäfen und Restaurants eine deutliche Abhängigkeit des Anteils der relevanten Texte von der Entfernung zu den betreffenden Objekten zeigt, kann dies für andere Objektklassen, wie z.B. Kino oder Supermarkt nicht bestätigt werden. Da frühere Forschungsarbeiten bei der Analyse im kleinmaßstäbigen Bereich eine Korrelation der Informationsinhalte mit deren Entstehungsorten feststellten, kann geschlussfolgert werden, dass der Zusammenhang zwischen Raum und Inhalt bei Microblogging-Texten sowohl vom Maßstab als auch vom Thema abhängig ist
Svensson, Adam, and Pär Strandberg. "Managing user generated content in marketing campaigns : A qualitative research of key features for managing marketing campaigns based on user generated content." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35185.
Full textOlivares, Ríos Ximena. "Large scale image retrieval base on user generated content." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/22718.
Full textOnline photo sharing systems provide a valuable source of user generated content (UGC). Most Web image retrieval systems use textual annotations to rank the results, although these annotations do not only illustrate the visual content of an image, but also describe subjective, spatial, temporal, and social dimensions, complicating the task of keyword based search. The research in this thesis is focused on how to improve the retrieval of images in large scale context , i.e. the Web, using information provided by users combined with visual content from images. Di erent forms of UGC are explored, such as textual annotations, visual annotations, and click-through-data, as well as di erent techniques to combine these data to improve the retrieval of images using visual information. In conclusion, the research conducted in this thesis focuses on the impor- tance to include visual information into various steps of the retrieval of media content. Using visual information, in combination with various forms of UGC, can signi cantly improve the retrieval performance and alter the user experience when searching for multimedia content on the Web. 1
Leufvén, Johan. "Integration of user generated content with an IPTV middleware." Thesis, Linköping University, Linköping University, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55029.
Full textIPTV is a growing form of distribution for TV and media. Reports show that the market will grow from the current 20-30 million subscribers to almost 100 million 2012. IPTV extends the traditional TV viewing with new services like renting movies from your TV. It could also be seen as a bridge between the traditional broadcast approach and the new on demand approach the users are used to from internet.
Since there are many actors in the IPTV market that all deliver the same basic functionality, companies must deliver better products that separate them from the competitors. This can be done either through doing things better than the others and/or delivering functionality that others can’t deliver.
This thesis project presents the development of a prototype system for serving user generated content in the IPTV middleware Dreamgallery. The developed prototype is a fully working system that includes (1) a fully automated system for transcoding, of video content. (2) A web portal presented with solutions for problems related to user content uploading and administration. (3) Seamless integration with the Dreamgallery middleware and end user GUI, with two different ways of viewing content. One way for easy exploration of new content and a second more structured way of browsing the content.
A study of three open source encoding softwares is also presented. The three encoders were subjects to tests of: speed, agility (file format support) and how well they handle files with corrupted data.
Chen, Lu. "Mining and Analyzing Subjective Experiences in User Generated Content." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1472164969.
Full textMeguebli, Youssef. "Leveraging User-Generated Content for Enhancing and Personalizing News Recommendation." Thesis, CentraleSupélec, 2015. http://www.theses.fr/2015SUPL0007/document.
Full textIn this thesis, we have investigated how to exploit user-generated-content for personalized news recommendation purpose. The intuition behind this line of research is that the opinions provided by users, on news websites, represent a strong indicator about their profiles. We have addressed this problem by proposing three main contributions. Firstly, we have proposed a profile model that accurately describes both users’ interests and news article contents. The profile model was tested on three different applications ranging from identifying the political orientation of users to the context of news recommendation and the diversification of the list of recommended news articles. Results show that our profile model give much better results compared to state-of-the-art models. Secondly, we have investigated the problem of noise on opinions and how we can retrieve only relevant opinions in response to a given query.The proposed opinion ranking strategy is based on users’ debates features. We have used a variation of PageRank technique to define the score of each opinion. Results show that our approach outperforms two recent proposed opinions ranking strategies, particularly for controversial topics. Thirdly, we have investigated different ways of leveraging opinions on news article contents including all opinions, topk opinions based on opinion ranking strategy, and a set of diverse opinion. To extract a list of diverse opinions, we have employed a variation of an existing opinion diversification model. Results show that diverse opinions give the best performance over other leveraging strategies
Celen, Mustafa, and Maximiliano Rojas. "Value Creation From User Generated Content for Smart Tourism Destinations." Thesis, Högskolan Dalarna, Mikrodataanalys, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34430.
Full textHauthal, Eva. "Detection, Modelling and Visualisation of Georeferenced Emotions from User-Generated Content." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-163847.
Full textIn den letzten Jahren sind emotionsbezogene Anwendungen, wie Apps, die die Emotionen des Nutzers dokumentieren und analysieren, sehr populär geworden. Ebenfalls in der Forschung sind Emotionen in einem sehr technologiegetriebenen Ansatz ein Thema. So auch ortsbezogene Emotionen, die sich somit kartographisch darstellen lassen und auf verschiedene Art und Weisen gewonnen werden können. Das Forschungsvorhaben der Dissertation befasst sich mit der Extraktion von georeferenzierten Emotionen aus geschriebener Sprache unter Verwendung von Metadaten verorteter Flickr- und Panoramio-Fotos, d.h. aus nutzergenerierten Inhalten, sowie deren Modellierung und Visualisierung. Motivation hierfür ist die Einbindung einer emotionalen Komponente in ortsbasierte touristische Dienste, da diese bisher nur faktische Informationen berücksichtigen, obwohl Orte durchaus eine emotionale Wirkung haben. Die Metadaten dieser nutzergenerierten Inhalte stellen Beschreibungen des auf dem Foto festgehaltenen Ortes dar. Die dafür verwendeten Wörter besitzen affektive Konnotationen, welche mit Hilfe emotionaler Wortlisten ermittelt werden. Die Emotion, die mit dem jeweiligen Wort in der Wortliste assoziiert wird, wird anhand der zwei Dimensionen Valenz und Erregung beschrieben. Die extrahierten Emotionen bilden zusammen mit der geographischen Koordinate des jeweiligen Fotos eine georeferenzierte Emotion. Der zur Extraktion dieser Emotionen entwickelte Algorithmus bringt verschiedene Ansätze aus dem Bereich der Computerlinguistik zum Einsatz und berücksichtigt ebenso grammatikalische Sonderfälle, wie Intensivierung oder Negation von Wörtern. Der Algorithmus wurde auf einen Datensatz von Flickr- und Panoramio-Fotos von Dresden angewendet. Die Ergebnisse stellen eine emotionale Raumcharakterisierung dar und ermöglichen es, spezifische Eigenschaften verorteter Emotionen festzustellen und zu untersuchen. Diese Eigenschaften beziehen sich sowohl auf die zeitliche Abhängigkeit und den zeitlichen Bezug von Emotionen, als auch darauf, dass zwischen kollektiv und individuell wahrgenommenen Emotionen unterschieden werden muss. Das bedeutet, dass ein Ort nicht nur mit einer Emotion verbunden sein muss, sondern möglicherweise auch mit mehreren. Die Auswertung erfolgte mithilfe verschiedener kartographischer Visualisierungen. Eingehender wurde das zeitliche Auftreten der ortsbezogenen Emotionen untersucht. Der Fokus der Dissertation liegt somit auf der Grundlagenforschung zur Extraktion verorteter Emotionen aus georeferenzierten nutzergenerierten Inhalten sowie deren Visualisierung. Im Ausblick werden jedoch weitere Fragestellungen und Schwerpunkte genannt, die sich im Laufe der Untersuchungen ergeben haben, womit gezeigt wird, dass dieses Forschungsgebiet bei Weitem noch nicht ausgeschöpft ist
Wang, David Chin-Fei. "Alight : enriching bus rides with user-generated, location-based audio content." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117830.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 101-107).
The advent of mobile data, social networks, and sharing economies have disrupted the way we experience place. Whereas many projects of placemaking have focused on a top-down, centralized discourse of landmark-making, I propose that the digital tools available to city planners, urban travelers, and business people allow for a decentralized digital space in which placemaking can rapidly occur. In this maker-thesis, I have built a mobile app, Alight, which delivers location-specific audio narration to riders of the MBTA's public bus system. Assembling a team and working iteratively over the course of six months, I have documented how the product was developed and the user responses to elucidate the practice of distributed, digital place-making. Analyzing the responses from these users, I show that using Alight to enhance the experience of a bus ride reveals strong parallels to physical placemaking of event-places. The Alight app demonstrates important new directions for the practice of urban placemaking. It illustrates how digital tools have become so accessible that planners and designers would be remiss to not begin to leverage the influence they have. The low marginal cost of implementation also provides a new platform through which economic development can happen along transit lines in areas between transit nodes that are not typically frequented. The app's user-generated content functionality also provides a platform for often underrepresented voices to share their stories of place, history, and community with riders of transit. This maker-thesis should always be read and used with the app in-hand. This written document only represents half of the output of an ongoing project that will continue to grow. The app can be downloaded on the Google Play Store.
by David Chin-Fei Wang.
M.C.P.
Zifla, Ermira. "Three Essays on Social and Economic Effects of User-Generated Content." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/509966.
Full textD.B.A.
In this dissertation, I investigate how online social interactions and user-generated content affect sellers and consumers in online platforms. I conduct three empirical studies to understand the effect of user-generated content in three different types of online platforms: (1) an e-commerce marketplace, (2) an online reviews platform, and (3) an online health community. In study one, I examine how social features (e.g., following others, sharing others’ products) within an electronic commerce marketplace affect status and sales for sellers. This essay contributes to the literature on electronic commerce by deepening the understanding of online social processes among sellers. In study two, I explore how humorous appropriation of an online review platform affects purchase intention and consumer engagement. Utilizing both controlled experiments and analysis of real-world reviews, I demonstrate that humorous appropriation attenuates the effect of review valence on purchase intentions and increases consumer engagement. In study three, I investigate how community ratings are related to patient treatment evaluations and compliance in an online health community. I find that community ratings are positively associated with treatment evaluations and compliance. Moreover, I find that community size and ratings variance moderate the effect of community ratings on treatment evaluations and compliance. Taken together, these essays contribute to the literature on Information Systems by augmenting the understanding of the effects of different types of user-generated content on social (status, engagement, and evaluations) and economic outcomes (purchase intentions and sales). The studies also offer insights for strategic decisions regarding user-generated content in online platforms.
Temple University--Theses
Moody, Kyle Andrew. "Modders : changing the game through user-generated content and online communities." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/4701.
Full textHecht, Brent Jaron. "The Mining and Application of Diverse Cultural Perspectives in User-Generated Content." Thesis, Northwestern University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3556613.
Full textWikipedia articles, tweets, and other forms of user-generated content (UGC) play an essential role in the experience of the average Web user. Outside the public eye, UGC has become equally indispensable as a source of world knowledge for systems and algorithms that help us make sense of big data. In this thesis, we demonstrate that UGC reflects the cultural diversity of its contributors to a previously unidentified extent, and that this diversity has important implications for Web users and existing UGC-based technologies. Focusing on Wikipedia, Flickr, and Twitter, we show how UGC diversity can be extracted and measured using techniques from artificial intelligence and geographic information science. Finally, through two novel applications—Omnipedia and Atlasify—we highlight the exciting potential for a new class of technologies enabled by the ability to harvest diverse perspectives from UGC.
Nassif, Henry Michel. "Learning sentiment and semantic relatedness in user generated content using neural models." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105969.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 113-124).
Online review platforms and discussion forums are filled with insights that are critical to unlocking the value in user-generated content. In this thesis, we investigate two major Natural Language Processing (NLP) research areas: Aspect-Based Sentiment Analysis (ABSA) and Community Question Answering (cQA) ranking problems, for the purposes of harnessing and understanding the sentiment and semantics expressed in review platforms and discussion forums. Riding on the recent trends of deep learning, this work applies neural networks to solve these tasks. We design neuralbased models including Convolutional Neural Networks (CNNs) and Long Short-Term Memory Networks (LSTMs) to capture the semantic and sentiment information. Aspect Based Sentiment Analysis is concerned with predicting the aspect categories mentioned in a sentence and the sentiments associated with each aspect category. We refer to these tasks as Aspect Category Detection and Aspect category Sentiment Prediction, respectively. We present a neural-based model with convolutional layers and Multi-Layer Perceptron (MLP) to address these tasks. The model uses the word vector representations generated using word2vec and computes the convolutional vectors of the user-generated reviews. These vectors are then employed to predict the aspect categories and their corresponding sentiments. We evaluate the performance of our ABSA models on a restaurant review dataset and show that our results on the aspect category detection task and aspect category sentiment prediction task outperform the baselines. The Community Question Answering system is concerned with automatically finding the related questions in an existing set of questions, and finding the relevant answers to a new question. We address these ranking problems, which we respectively refer to as similar-Question Retrieval and Answer Selection. We present a neural-based model with stacked bidirectional LSTMs and MLP to address these tasks. The model generates the vector representations of the question-question or question-answer pairs and computes their semantic similarity scores. These scores are then used to rank and predict relevancies. Extensive experiments demonstrate that our cQA models for the question retrieval and answer selection tasks outperform the baselines if enough training data is available.
by Henry Michel Nassif.
M. Eng.
Chen, Zhiyang. "An examination of user generated content value on culturally based consumer groups." Thesis, Kansas State University, 2013. http://hdl.handle.net/2097/15779.
Full textDepartment of Journalism and Mass Communications
Thomas Gould
The consumer value of user generated content was investigated between culture groups. Two groups of survey participants and three groups of interview respondents were utilized to identify the culture value’s influence on people’s reliance and preference in consumption-related UGC information. The behavior pattern of Chinese students and American students on UGC were identified and connected with dimensions of culture value. Some difference in preference and attitude between Chinese users and American users were found in this research. Power distance, individualism, and uncertainty avoidance are considered important cultural factors that influence the consumer-value of UGC in each culture group. Several potential areas for future quantitative and qualitative study as well as suggestions for UGC platform providers were also identified.
Tan, Enhua. "Spam Analysis and Detection for User Generated Content in Online Social Networks." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365520334.
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