Weighted argumentation for analysis of discussions in twitter
MetadataShow full item record
Twitter has become a widely used social network to discuss ideas about many domains. This leads to a growing interest in understanding what are the major accepted or rejected opinions in different domains by social network users. At the same time, checking what are the topics that produce the most controversial
discussions among users can be a good tool to discover topics that can be divisive, what can be useful, e.g., for policy makers. With the aim to automatically discover such information from Twitter discussions, we present an analysis system based on Valued Abstract Argumentation to model and reason about the accepted and rejected opinions. We consider different schemes to weight the opinions of Twitter users, such that we can tune the relevance of opinions considering different information sources from the social network. Towards having a fully automatic system, we also design a relation labeling system for discovering the relation between opinions. Regarding the underlying acceptability semantics, we use ideal semantics to compute accepted/rejected opinions. We define two measures over sets of accepted and rejected opinions to quantify the most controversial discussions. In order to validate our system, we analyze different real Twitter discussions from the political domain. The results show that different weighting schemes produce different sets of socially accepted opinions and that the controversy measures can reveal significant differences between discussions.
Is part ofInternational Journal of Approximate Reasoning, 2017, vol. 85, p. 21-35
Showing items related by title, author, creator and subject.
An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships Alsinet, Teresa; Argelich Romà, Josep; Béjar Torres, Ramón; Fernàndez Camon, César; Mateu Piñol, Carles; Planes Cid, Jordi (Elsevier, 2017-07-08)Twitter is one of the most widely used social networks when it comes to sharing and criticizing relevant news and events. In order to understand the major opinions accepted and rejected in different domains by Twitter ...
A distributed argumentation algorithm for mining consistent opinions in weighted Twitter discussions Alsinet, Teresa; Argelich Romà, Josep; Béjar Torres, Ramón; Cemeli Sánchez, Joel (Springer, 2019)Twitter is one of the most powerful social media platforms, reflecting both support and contrary opinions among people who use it. In a recent work, we developed an argumentative approach for analyzing the major opinions ...
Argelich Romà, Josep; Béjar Torres, Ramón; Fernàndez Camon, César; Mateu Piñol, Carles; Planes Cid, Jordi (Springer International Publishing Switzerland, 2016-06-01)We analyze and compare two solvers for Boolean optimization problems: WMaxSatz, a solver for Partial MaxSAT, and MinSatz, a solver for Partial MinSAT. Both MaxSAT and MinSAT are similar, but previous results indicate that ...