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ACM Transactions on Internet Technology (TOIT) - Special Issue on Argumentation in Social Media and Regular Papers, Volume 17 Issue 3, July 2017



Section: Special Issue on Argumentation in Social Media

Argumentation in Social Media
Iryna Gurevych, Marco Lippi, Paolo Torroni
Article No.: 23
DOI: 10.1145/3056539

Debating Technology for Dialogical Argument: Sensemaking, Engagement, and Analytics
John Lawrence, Mark Snaith, Barbara Konat, Katarzyna Budzynska, Chris Reed
Article No.: 24
DOI: 10.1145/3007210

Debating technologies, a newly emerging strand of research into computational technologies to support human debating, offer a powerful way of providing naturalistic, dialogue-based interaction with complex information spaces. The full potential of...

Using Argumentative Structure to Interpret Debates in Online Deliberative Democracy and eRulemaking
John Lawrence, Joonsuk Park, Katarzyna Budzynska, Claire Cardie, Barbara Konat, Chris Reed
Article No.: 25
DOI: 10.1145/3032989

Governments around the world are increasingly utilising online platforms and social media to engage with, and ascertain the opinions of, their citizens. Whilst policy makers could potentially benefit from such enormous feedback from society, they...

Stance and Sentiment in Tweets
Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko
Article No.: 26
DOI: 10.1145/3003433

We can often detect from a person’s utterances whether he or she is in favor of or against a given target entity—one’s stance toward the target. However, a person may express the same stance toward a target by using negative or...

An Argumentation Approach for Resolving Privacy Disputes in Online Social Networks
Nadin Kökciyan, Nefise Yaglikci, Pinar Yolum
Article No.: 27
DOI: 10.1145/3003434

Preserving users’ privacy is important for Web systems. In systems where transactions are managed by a single user, such as e-commerce systems, preserving privacy of the transactions is merely the capability of access control. However, in...

A Universal Model for Discourse-Level Argumentation Analysis
Henning Wachsmuth, Benno Stein
Article No.: 28
DOI: 10.1145/2957757

The argumentative structure of texts is increasingly exploited for analysis tasks, for example, for stance classification or the assessment of argumentation quality. Most existing approaches, however, model only the local structure of single...

Experimental Assessment of Aggregation Principles in Argumentation-Enabled Collective Intelligence
Edmond Awad, Jean-François Bonnefon, Martin Caminada, Thomas W. Malone, Iyad Rahwan
Article No.: 29
DOI: 10.1145/3053371

On the Web, there is always a need to aggregate opinions from the crowd (as in posts, social networks, forums, etc.). Different mechanisms have been implemented to capture these opinions such as Like in Facebook, Favorite in Twitter,...

Using Argumentation to Improve Classification in Natural Language Problems
Lucas Carstens, Francesca Toni
Article No.: 30
DOI: 10.1145/3017679

Argumentation has proven successful in a number of domains, including Multi-Agent Systems and decision support in medicine and engineering. We propose its application to a domain yet largely unexplored by argumentation research: computational...

Section: Special Issue on Argumentation in Social Media

Mitigating Data Sparsity Using Similarity Reinforcement-Enhanced Collaborative Filtering
Yan Hu, Weisong Shi, Hong Li, Xiaohui Hu
Article No.: 31
DOI: 10.1145/3062179

The data sparsity problem has attracted significant attention in collaborative filtering-based recommender systems. To alleviate data sparsity, several previous efforts employed hybrid approaches that incorporate auxiliary data sources into...

Towards Inferring Communication Patterns in Online Social Networks
Ero Balsa, Cristina Pérez-Solà, Claudia Diaz
Article No.: 32
DOI: 10.1145/3093897

The separation between the public and private spheres on online social networks is known to be, at best, blurred. On the one hand, previous studies have shown how it is possible to infer private attributes from publicly available data. On...