Opinion dynamics, Online interaction, Social media, Emotions, Agent-based modeling, e-democracy, Political science
Garcia David, Schweitzer Frank (2015), Social signals and algorithmic trading of Bitcoin, in Royal Society Open Science
Abisheva Adiya, Garcia David, Schweitzer Frank (2016), When the Filter Bubble Bursts: Collective Evaluation Dynamics in Online Communities, in Proceedings of the 8th ACM Conference on Web Science
, ACM, New York.
Garcia David, Tessone Claudio Juan, Mavrodiev Pavlin, Perony Nicolas (2014), The digital traces of bubbles: Feedback cycles between socio-economic signals in the Bitcoin economy, in Journal of the Royal Society Interface
, 11(99), 20140623.
Alvarez Raquel, Garcia David, Moreno Yamir, Schweitzer Frank (2015), Sentiment cascades in the 15M movement, in EPJ Data Science
, 4(6), 1.
Garcia David, Tanase Dorian (2013), Measuring cultural dynamics through the Eurovision song contest, in ACS - Advances in Complex Systems
, 16(8), 33.
Carrascosa Juan Miguel, Cuevas Ruben, Gonzalez Roberto, Azcorra Arturo, Garcia David (2015), Quantifying the Economic and Cultural Biases of Social Media through Trending Topics, in PLOS ONE
, 10(7), e0134407.
Stommel Sebastian, Garcia David, Abisheva Adiya, Schweitzer Frank (2016), Anticipated Shocks in Online Activity: Response Functions of Attention and Word-of-mouth Processes, in Proceedings of the 8th ACM Conference on Web Science
, ACM, New Yorik.
Garcia David, Strohmaier Markus (2016), The QWERTY Effect on the Web: How Typing Shapes the Meaning of Words in Online Human-Computer Interaction, in Proceedings of the 25th International Conference on World Wide Web
, ACM, New York.
Garcia David, Abisheva Adiya, Schweighofer Simon, Serdult Uwe, Schweitzer Frank (2015), Ideological and Temporal Components of Network Polarization in Online Political Participatory Media, in Policy and Internet
, 7(1), 46-79.
Abisheva Adiya, Garimella Venkata Rama Kiran, Garcia David, Weber Ingmar (2014), Who Watches ( and Shares ) What on YouTube ? And When ? Using Twitter to Understand YouTube Viewership, in In Proceedings of the 7th ACM international conference on Web search and data mining
, ACM, New York.
Garcia David, Weber Ingmar, Garimella Rama Venkata Kiran (2014), Gender Asymmetries in Reality and Fiction : The Bechdel Test of Social Media, in Proceedings of the International AAAI Conference on Weblogs and Social Media
, AAAI Press, Palo Alto.
Gallegos Luciano, Lerman Kristina, Huang Arthur, Garcia David (2015), Geography of Emotion: Where in a City are People Happier?, in Proceedings of the 25th internationalWorld Wide Web conference companion
, ACM, New York.
Garcia David, Garas Antonios, Schweitzer Frank (2015), The language-dependent relationship between word happiness and frequency, in Proceedings of the National Academy of Sciences
, PNAS, Washington D.C..
Wagner Claudia, Graells-Garrido Eduardo, Garcia David (2016), Women Through the Glass-Ceiling: Gender Asymmetries in Wikipedia, in EPJ Data Science
, 5(5), 23.
Niven Karen, Garcia David, Lowe Ilmo Van Der, Holman David, Mansell Warren (2015), Becoming popular: Interpersonal emotion regulation predicts relationship formation in real life social networks, in Frontiers in Psychology
, 6(1452), 0.
Oksanen Atte, Garcia David, Sirola Anu, Näsi Matti, Kaakinen Markus, Keipi Teo, Räsänen Pekka (2015), Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses, in Journal of Medical Internet Research
, 11(17), e2560.
Oksanen Atte, Garcia David, Räsänen Pekka (2016), Proanorexia Communities on Social Media, in Pediatrics
, 137(1), e20153372.
Garcia David, Kappas Arvid, Kuster Dennis, Schweitzer Frank (2016), The Dynamics of Emotions in Online Interaction, in Royal Society Open Science
, 3(160059), 0.
Garcia David, Thelwall Mike (2013), Political alignment and emotional expression in Spanish Tweets, in Workshop on Sentiment Analysis at SEPLN
, Spanish Society for Natural Language Processing, Madrid, Spain.
Lerman Kristina, Arora Megha, Gallegos Luciano, Kumaraguru Ponnurangam, Garcia David (2016), Emotions, Demographics and Sociability in Twitter Interactions, in Proceedings of the International AAAI Conference on Weblogs and Social Media
, AAAI, Palo Alto.
The proliferation of online participatory media - such as social networking sites, blogs and online fora - has recently changed Internet users from simple information consumers to participants that actively create, share, evaluate and discuss content. This recent development provides a number of opportunities and challenges that are the subject of current research. On the one hand, participatory media provide the potential to increase citizens engagement in discussions on political and societal issues. At the same time, there is increasing evidence that - under certain conditions - interactions between users can lead to an increasing polarization of opinions. Group dynamics can lead to the emergence of opposing collective opinions that are often hard to reconcile. This development not only influences online participatory media, it increasingly affects the culture of political discourse. As such, polarization in online media is a relevant phenomenon that can affect the willingness of compromise across social groups. At the same time polarization provides a confrontation of opinions that is a cornerstone of a functional democratic society. A number of individual and collective mechanisms that can result in polarized collective opinions have been identified, e.g. in the fields of opinion dynamics, social psychology, political science and communication studies. The goal of this interdisciplinary research project is to study the role of emotional interactions in the polarization of opinions. In particular, it will be studied under which conditions positive and negative emotions in online discussions can amplify polarization in online participatory media. We address this question in a quantitative way by means of novel computational methods like the automated emotional classification of texts, machine learning, statistical analysis of large-scale data and agent-based modeling. Based on our experience in the modeling and analysis of collective emotions, we will for the first time combine findings from the study of opinion dynamics with a quantitative approach to the modeling of emotional interactions. Furthermore, we will test hypothesis from social psychology and political science by means of an analysis of large-scale datasets that will be collected in the project. With this, we make an important and timely contribution to the interdisciplinary study of collective social phenomena in digital democracies.