Moving Beyond Benchmarks and Competitions: Towards Addressing Social Media Challenges in an Educational Context

[1]  D. Ognibene,et al.  Computational models of behavioral addictions: State of the art and future directions. , 2022, Addictive behaviors.

[2]  F. Bonchi,et al.  Cascade-based Echo Chamber Detection , 2022, CIKM.

[3]  Chun-Wei Chiang,et al.  Exploring the Effects of Machine Learning Literacy Interventions on Laypeople’s Reliance on Machine Learning Models , 2022, IUI.

[4]  Luis Espinosa Anke,et al.  TimeLMs: Diachronic Language Models from Twitter , 2022, ACL.

[5]  Gilles Bailly,et al.  How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies , 2021, Proc. ACM Hum. Comput. Interact..

[6]  B. Nyhan,et al.  The Distorting Prism of Social Media: How Self-Selection and Exposure to Incivility Fuel Online Comment Toxicity , 2021, Journal of Communication.

[7]  Rommel Hernandez Urbano Jr.,et al.  A BERT-based Hate Speech Classifier from Transcribed Online Short-Form Videos , 2021, 2021 5th International Conference on E-Society, E-Education and E-Technology.

[8]  D. Ognibene,et al.  Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion , 2021, Frontiers in Artificial Intelligence.

[9]  Miljana Mladenović,et al.  Cyber-aggression, Cyberbullying, and Cyber-grooming , 2021, ACM Comput. Surv..

[10]  Seid Muhie Yimam,et al.  HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection , 2020, AAAI.

[11]  R. Hertwig,et al.  How behavioural sciences can promote truth, autonomy and democratic discourse online , 2020, Nature Human Behaviour.

[12]  P. Mena.  Cleaning Up Social Media: The Effect of Warning Labels on Likelihood of Sharing False News on Facebook , 2020, Policy & Internet.

[13]  Yisroel Mirsky,et al.  The Creation and Detection of Deepfakes , 2020, ACM Comput. Surv..

[14]  Leon Derczynski,et al.  Directions in abusive language training data, a systematic review: Garbage in, garbage out , 2020, PloS one.

[15]  L Graves,et al.  Discipline and promote: Building infrastructure and managing algorithms in a “structured journalism” project by professional fact-checking groups , 2020, New Media Soc..

[16]  Chih-Chung Hsu,et al.  Deep Fake Image Detection Based on Pairwise Learning , 2020, Applied Sciences.

[17]  R. Hertwig,et al.  Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools , 2019, Psychological science in the public interest : a journal of the American Psychological Society.

[18]  L. Floridi,et al.  Ethical aspects of multi-stakeholder recommendation systems , 2019, Inf. Soc..

[19]  Joshua B. Plotkin,et al.  Information gerrymandering and undemocratic decisions , 2019, Nature.

[20]  Sachin Banker,et al.  Algorithm Overdependence: How the Use of Algorithmic Recommendation Systems Can Increase Risks to Consumer Well-Being , 2019, Journal of Public Policy & Marketing.

[21]  Wai-Tat Fu,et al.  To Label or Not to Label , 2018, Proc. ACM Hum. Comput. Interact..

[22]  Jan Lorenz,et al.  The triple‐filter bubble: Using agent‐based modelling to test a meta‐theoretical framework for the emergence of filter bubbles and echo chambers , 2018, The British journal of social psychology.

[23]  Bin Zhu,et al.  Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions , 2018, ICMI.

[24]  Andrew Jakubowicz,et al.  Online networks of racial hate: A systematic review of 10 years of research on cyber-racism , 2018, Comput. Hum. Behav..

[25]  Huan Liu,et al.  FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media , 2018, Big Data.

[26]  Jose Dolz,et al.  An Attention Model for Group-Level Emotion Recognition , 2018, ICMI.

[27]  Paola Corsano,et al.  The Internet Is Not a Tool: Reappraising the Model for Internet-Addiction Disorder Based on the Constraints and Opportunities of the Digital Environment , 2018, Front. Psychol..

[28]  M. Kosinski,et al.  Building a profile of subjective well-being for social media users , 2017, PloS one.

[29]  Phillip Ozimek,et al.  Materialists on Facebook: the self-regulatory role of social comparisons and the objectification of Facebook friends , 2017, Heliyon.

[30]  David G. Rand,et al.  Who Falls for Fake News? The Roles of Bullshit Receptivity, Overclaiming, Familiarity, and Analytic Thinking , 2017, Journal of personality.

[31]  Erik Cambria,et al.  A review of affective computing: From unimodal analysis to multimodal fusion , 2017, Inf. Fusion.

[32]  Dimitri Ognibene,et al.  Addiction beyond pharmacological effects: the role of environment complexity and bounded rationality , 2017, bioRxiv.

[33]  R. Hertwig,et al.  Nudging and Boosting: Steering or Empowering Good Decisions , 2017, Perspectives on psychological science : a journal of the Association for Psychological Science.

[34]  Joshua A. Tucker,et al.  Emotion shapes the diffusion of moralized content in social networks , 2017, Proceedings of the National Academy of Sciences.

[35]  Damon Centola,et al.  Network dynamics of social influence in the wisdom of crowds , 2017, Proceedings of the National Academy of Sciences.

[36]  Brian A Primack,et al.  Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study. , 2017, Social science & medicine.

[37]  A. L. Schmidt,et al.  Anatomy of news consumption on Facebook , 2017, Proceedings of the National Academy of Sciences.

[38]  Bahador Bahrami,et al.  Aggregated knowledge from a small number of debates outperforms the wisdom of large crowds , 2017, Nature Human Behaviour.

[39]  M. Gentzkow,et al.  Social Media and Fake News in the 2016 Election , 2017 .

[40]  Chuang Wang,et al.  Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model , 2016, Inf. Syst. Res..

[41]  Kimberly J. Mitchell,et al.  Defining and measuring youth digital citizenship , 2016, New Media Soc..

[42]  Ibrahim Taymur,et al.  A study of the relationship between internet addiction, psychopathology and dysfunctional beliefs , 2016, Comput. Hum. Behav..

[43]  Bernd Carsten Stahl,et al.  Digital Wildfires: Propagation, Verification, Regulation, and Responsible Innovation , 2016, TOIS.

[44]  Kristen L. Walker.  Surrendering Information through the Looking Glass: Transparency, Trust, and Protection , 2016 .

[45]  G. Caldarelli,et al.  The spreading of misinformation online , 2016, Proceedings of the National Academy of Sciences.

[46]  Diego F. M. Oliveira,et al.  Measuring Online Social Bubbles , 2015, PeerJ Comput. Sci..

[47]  Robin M. Kowalski,et al.  Cyberbullying Via Social Media , 2015 .

[48]  Jin-Liang Wang,et al.  The effects of Social Networking Site (SNS) use on college students' friendship and well-being , 2014, Comput. Hum. Behav..

[49]  Carlos Gomez-Garibello,et al.  Adolescents' moral evaluations and ratings of cyberbullying: The effect of veracity and intentionality behind the event , 2014, Comput. Hum. Behav..

[50]  Jeffrey T. Hancock,et al.  Experimental evidence of massive-scale emotional contagion through social networks , 2014, Proceedings of the National Academy of Sciences.

[51]  Ruth V. Small,et al.  Digital literacy and informal learning environments: an introduction , 2013 .

[52]  Edward Sosu,et al.  The development and psychometric validation of a Critical Thinking Disposition Scale , 2013 .

[53]  Christopher C. French,et al.  Measuring Belief in Conspiracy Theories: The Generic Conspiracist Beliefs Scale , 2013, Front. Psychol..

[54]  Francis T. McAndrew,et al.  Who does what on Facebook? Age, sex, and relationship status as predictors of Facebook use , 2012, Comput. Hum. Behav..

[55]  A. Vespignani,et al.  Competition among memes in a world with limited attention , 2012, Scientific Reports.

[56]  D. Helbing,et al.  How social influence can undermine the wisdom of crowd effect , 2011, Proceedings of the National Academy of Sciences.

[57]  Simon P. Anderson,et al.  Media Mergers and Media Bias with Rational Consumers , 2010 .

[58]  B. Clarke.  Early Adolescents' Use of Social Networking Sites to Maintain Friendship and Explore Identity: Implications for Policy , 2009 .

[59]  Phyllis B. Gerstenfeld,et al.  Hate Online: A Content Analysis of Extremist Internet Sites , 2003 .

[60]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[61]  T. Postmes,et al.  Deindividuation and antinormative behavior: A meta-analysis. , 1998 .

[62]  Ralf Krestel,et al.  Toxic Comment Collection: Making More Than 30 Datasets Easily Accessible in One Unified Format , 2021, WOAH.

[63]  Asif Ekbal,et al.  Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding , 2020, Expert Syst. Appl..

[64]  M. Westerlund.  The Emergence of Deepfake Technology: A Review , 2019, Technology Innovation Management Review.