Accepted papers per session

The following overview shows the assignment of papers to sessions of MISDOOM 2020.


Parallel session 1 – Monday Oct 26, 10:45 – 12:00

A1 – Fake Science, Science Misinformation & Countermeasures

I. 10. Marina Tulin, Jason Pridmore, Sara Degli Esposti and David Arroyo Guardeño, Trustworthy, Reliable and Engaging Scientific Communication Approaches (TRESCA): A Research Agenda
II. 18. Camille Ryan, Andrew Schaul, Ryan Butner and John Swarthout. Monetizing Disinformation in the Attention Economy: the case of genetically modified organisms
III. 25. Victor Chomel, David Chavalarias and Maziyar Panahi. Disinformation about climate change on Twitter
IV. 47. Derek Weber, Mehwish Nasim, Lucia Falzon and Lewis Mitchell. #ArsonEmergency and Australia’s “Black Summer”: Polarisation and misinformation on social media
V. 50. Felipe Schaeffer Neves, Vinicius Woloszyn, Michael Wilmes and Sebastian Möller. CLIFA – An Open Knowledge Base For Facts On Climate Change

B1 – State-based Misinformation, Disruption & Surveillance

I. 3. Grace Gambiza. Fake news and Social Media Regulation in Zimbabwe: A Case Study of the January 2019 National #Shutdown.
II. 27. Alexandra Pavliuc. Understanding the Evolution of State-Backed Disinformation Operations on Twitter through Network Analysis
III. 36. Milena Fischer. Disinformation based on surveillance and the disappearance of privacy: the use of personal data in the direction of false information and the impact on reducing individual autonomy
IV. 38. Monika Hanley. Russia’s Recycling of Strategic Narratives in Epistemologic Truth-setting in the Baltics
V. 56. Ansgard Heinrich and Eugenia Kuznetsova. Disinformation and the Russia-Ukraine Conflict: How Russian and Ukrainian news media cover fake news online

C1 – Malicious Actors and their Strategies

I. 52. Henna Paakki, Antti Salovaara and Heidi Vepsäläinen. Do Trolling Strategies Differ in Political and Interest Online Forums: Early Results
II. 53. David Cheruiyot. When media critics go on the offensive: Digital publicity and the populist attacks against journalists
III. 32. Sophie Maddocks. ‘A Deepfake Porn Plot Intended to Silence Me’: Exploring Continuities Between Pornographic and ‘Political’ Deep Fakes
IV. 57. Svenja Boberg, Tim Schatto-Eckrodt and Thorsten Quandt. Copycats and Hijackers: How malicious actors exploit social media hypes
V. 58. Guido Caldarelli, Rocco De Nicola, Marinella Petrocchi and Fabio Saracco. Bot squads in Twitter political debates


Plenary Session 1: Challenges – Monday Oct 26, 13:00 – 14:15

I. 20. Magdalena Wischnewski, Axel Bruns, Tim Graham, Tobias Keller, Dan Angus, Eshan Dehghan and Brenda Moon. Infowars-activity on Twitter: Exploring gatewatching, shareworthiness and social bots
II. 67. Anu Shrestha, Francesca Spezzano and Indhumathi Gurunathan. Multi-modal Analysis of Misleading Political News
III. 30. Judith Moeller and Michael Beam. Spiral of noise: towards a new theoretical framework to understand the effects of biased information
IV. 7. Hendrik Heuer and Andreas Breiter. How Fake News Affect Trust in the Output of a Machine Learning System for News Curation
V. 49. Michael Maes and Marijn Keijzer. Filter bubbles and opinion polarization. Why we may not even be close to having understood the complex link.


Parallel Session 2 – Monday Oct 26, 14:45 – 16:00

A2 – Automatic Detection of Fake News & Misinformation

I. 43. Marion Meyers, Gerasimos Spanakis and Gerhard Weiss. Fake News Detection on Twitter Using Propagation Structures
II. 45. Elena Kochkina, Maria Liakata and Arkaitz Zubiaga. Stance Classification for Rumour Verification in Social Media Conversations
III. 55. Tommaso Caselli and Roser Morante. “You said so!”: Identifying inconsistencies in quotations in news.
IV. 63. Lennart van de Guchte, Stephan Raaijmakers, Erik Meeuwissen and Jennifer Spenader. Near Real-Time Detection of Misinformation on Online Social Networks
V. 68. Konstantin Smirnov, Gerasimos Spanakis and Gerhard Weiss. Early Fake News Detection on Twitter by analysing User Characteristics in a Tweet Propagation Path.

B2 – The Public – Susceptibility and Peer Influence

I. 24. Thomas Nygren, Jenny Wiksten Folkeryd, Caroline Liberg and Mona Guath. Students assessing digital news and misinformation
II. 29. Alexandre Leroux and Matteo Gagliolo. Detecting disjunction in public opinion – Facebook users attitudes towards migrations between 2014 and 2018
III. 61. Leonie Schaewitz and Nicole Krämer. Combating disinformation: Effects of timing and correction format on factual knowledge and personal beliefs
IV. 41. Georgiana Udrea, Alina Bârgăoanu, Corbu Nicoleta and Gabriela Guiu. They can be fooled by fake news, but not me! Evidence of third person effect on people’s ability to detect news
V. 34. Tobias Kleineidam, Lina Gunstmann, Anna Schonebeck, Tim Schatto-Eckrodt and Lena Frischlich. Entertaining far-right propaganda on Instagram: User reactions to eudaimonic posts

C2 – Election Engineering & Political Misinformation

I. 11. Raquel Recuero. Characteristics of Disinformation Campaigns on Twitter During the Brazilian 2018 Presidential Election
II. 35. Or Levi, Sardar Hamidian and Pedram Hosseini. Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting
III. 60. Kanishk Karan and John Gray. Memes on Pinterest gamify polarization in Canadian elections
IV. 65. Silvia Majo-Vazquez, Mariluz Congosto, Tom Nicholls and Rasmus Kleis Nielsen. The Role of Suspended Accounts in Political Discussion on Social Media: Analysis of the 2017 French, UK and German Elections
V. 13. Jukka Ruohonen. A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning


Parallel Session 3 – Tuesday Oct 27, 10:45 – 12:00

A3 – Fundamental Concepts of Misinformation

I. 5. Nicoleta Corbu, Divina Frau-Meigs, Denis Teyssou and Alina Bârgăoanu. What’s in a name: Defining “fake news” from the audience’s perspective
II. 12. Anne Janssen. A communication science perspective on the echo chamber debate
III. 14. Adriana Amaral, Eloy Vieira, Gustavo Fischer, Maria Clara Aquino Bittencourt, Rafael Grohmann, Ronaldo Henn and Sônia Montaño. Deepfakes in Brazil and the role of digital culture
IV. 19. Sophie Minihold and Michael Hameleers. Speaking (Un)Truth? Moral Language and Constructions of (Un)Truthfulness in the Facebook Communication of Austrian Politicians
V. 21. Leonie Heims, Carina Strauss, Marcel Hansek, Tim Schatto-Eckrodt and Lena Frischlich. Language and Hate: Mechanisms of Dangerous Speech in German Politicians Facebook-Communication

B3 – NLP and ML for Fake-News Identification

I. 2. Eline Honig, Jitske van der Vlugt, Anne Dirkson and Suzan Verberne. Topic Analysis for Misinformation on Medical Internet Fora
II. 6. Britta Brugman, Christian Burgers, Camiel Beukeboom and Elly Konijn. A Large-Scale Linguistic Analysis of News and Fiction in Satirical News
III. 23. Angela Chang. Misinformation from Chinese Web-based Newspapers? Machine Computational Analysis of Metabolic Disease Burden
IV. 37. Daniel Röchert, German Neubaum and Stefan Stieglitz. Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models
V. 70. Mohamed Barbouch, Frank W. Takes and Suzan Verberne. Relevance-based Tweet Classification during Natural Disasters using BERT and User Centrality Measures

C3 – Human-Based Solutions

I. 8. Thao Ngo, Magdalena Wischnewski and Rebecca Bernemann. Human Detection of Social Bots
II. 26. Lilian Kojan, Hava Melike Osmanbeyoglu, Laura Burbach, Martina Ziefle and André Calero Valdez. Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online
III. Neta Kligler Vilenchik. Information Verification Practices among Political Talk Groups on WhatsApp
IV. 44. Beliza Boniatti and Mariele Hochmuller. Gender Focus on Construction of Narrative Strategies for Fighting Political Disinformation: the Brazilian Case.
V. 59. Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis Riehle, Mike Preuss and Christian Grimme. FakeYou! – A Gamified Approach for Building and Evaluating Resilience Against Fake News


Plenary Session 2: Solutions – Tuesday Oct 27, 13:00 – 14:15

I. 9. Peter van Aelst, Sophie Morosoli, Edda Humprecht, Anna Staender and Frank Esser. Resilience to Disinformation: An Experimental Study on the Spread of Online Disinformation
II. 4. Liesbeth Allein and Marie-Francine Moens. Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets
III. 39. Marco Niemann, Jens Welsing, Dennis M. Riehle, Jens Brunk, Dennis Assenmacher and Jörg Becker. Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action
IV. 62. Ansgard Heinrich. Fighting Fake: Who’s there to counter misinformation, disinformation and propaganda?
V. 64. Janusz Holyst, Robert Paluch, Łukasz Gajewski, Krzysztof Suchecki and Bolesław Szymański. Improving the localization of hidden misinformation source in complex networks


Parallel Session 4 – Tuesday Oct 27, 15:45 – 17:00

A4 – News, Conspiracies & Filter Bubbles

I. 66. Juliane von Reppert-Bismarck. Gaming, TikTok, Twitch: where do European pre-teens get their news?
II. 33. Arnout Boot, Katinka Dijkstra and Rolf Zwaan. Experimental Research in Progress; Beliefs in Conspiracy Theories on the Web
III. 48. Christina Mason, Peter van der Putten and Max van Duijn. How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach
IV. 1. Axel Bruns. Echo Chambers? Filter Bubbles? A Critical Review
V. 22. Thais Jorge and João Canavilhas. Will there be journalism after the fake news?

B4 – Spreading & Spill-Over Dynamics of Misinformation

I. 15. Anna-Katharina Jung, Jennifer Fromm, Kari Anne Røysland, Gautam Kishore Shahi and Kim Henrik Gronert. Case Study of Kristiansand Quran Burning: A Cross-Platform Analysis of Spill-Over Effects
II. 16. Alon Sela, Shlomo Havlin, Louis Shekhtman and Irad Ben-Gal. Information Spread by Search Engines vs. Word-of-Mouth
III. 17. Alon Sela, Goldenberg Dmitri, Erez Shmueli and Irad Ben-Gal. Information Spread – Intensive vs On-Going Campaigns
IV. 31. Jonathan Bright, Christian Schwieter, Katarina Rebello and Marcel Schliebs. Understanding polarizing content distribution on social media
V. 40. Meysam Alizadeh, Jacob Shapiro, Cody Buntain and Joshua Tucker. Using Contextual Features to Detect Online Influence Campaigns

C4 – Solutions – Tools & Systems

I. 28. Daria Sinitsyna, Lu Xiao, Bo Zhang, Yimin Xiao and Guoxing Yao. Towards automatic detection of propaganda techniques in news articles
II. 69. Jasper Schelling, Noortje van Eekelen, Ijsbrand van Veelen, Maarten van Hees and Peter van der Putten. Bursting the Bubble
III. 46. Marsha Cahya Anggarwati, Firdaniza Firdaniza, Atje Setiawan Abdullah, Juli Rejito, Diah Chaerani, Annisa Nur Falah and Budi Nurani Ruchjana. Prediction of Complaints of Hoax News in West Java using Chapman Kolmogorov’s Equation and Markov Chain Stationary Distribution
IV. 51. David Arroyo and Sara Degli Esposti. On the design of a misinformation widget for messaging apps: bridging expert knowledge and automated news classification
V. 54. Angelo Spognardi and Marinella Petrocchi. On the robustness of rating aggregators against injection attacks