Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Sibel Adali"'
Publikováno v:
Computers in Human Behavior Reports, Vol 2, Iss , Pp 100043- (2020)
The detection of false and misleading news has become a top priority to researchers and practitioners. Despite the large number of efforts in this area, many questions remain unanswered about the ideal design of interventions, so that they effectivel
Externí odkaz:
https://doaj.org/article/75be93c14a644baa8ccb920d2a44c6aa
Autor:
Lluís Garcia-Pueyo, Panayiotis Tsaparas, Prathyusha Senthil Kumar, Timos Sellis, Paolo Papotti, Sibel Adali, Giuseppe Manco, Tudor Trufinescu, Gireeja Ranade, James Verbus, Mehmet N. Tek, Anthony McCosker
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 10:583-586
Expertise location is a difficult task, with expertise often being implied and liable to change. In this paper we propose a heuristic-based approach for automated identification of expertis eon Twitter. We collect tweets from experts and non-experts
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:426-429
We consider prominence ranking in graphs involving actors, their artifacts and the artifact groups. When multiple actors contributing to an artifact constitutes a social tie, associations between the artifacts can be used to infer prominence among ac
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 11:1-23
In this study, we examine the impact of time on state-of-the-art news veracity classifiers. We show that, as time progresses, classification performance for both unreliable and hyper-partisan news classification slowly degrade. While this degradation
Publikováno v:
ACM SIGMIS Database: the DATABASE for Advances in Information Systems. 50:66-84
Knowing who is an expert on social media is a challenging yet important task, especially in a world where misleading information is commonplace and where social media is an important information source for knowledge seekers. In this paper we investig
Publikováno v:
AAAI
We extend the Top-Trading-Cycles (TTC) mechanism to select strict core allocations for housing markets with multiple types of items, where each agent may be endowed and allocated with multiple items of each type. In doing so, we advance the state of
Publikováno v:
ACM Transactions on Social Computing. 2:1-34
Many network scientists have investigated the problem of mitigating or removing false information propagated in social networks. False information falls into two broad categories: disinformation and misinformation. Disinformation represents false inf
Publikováno v:
SemEval@COLING
This paper describes SChME (Semantic Change Detection with Model Ensemble), a method used in SemEval-2020 Task 1 on unsupervised detection of lexical semantic change. SChME uses a model ensemble combining signals distributional models (word embedding
Publikováno v:
TPS-ISA
Research in combating misinformation reports many negative results: facts may not change minds, especially if they come from sources that are not trusted. Individuals can disregard and justify lies told by trusted sources. This problem is made even w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dd672880fc1e02e9378e33b464e77e3
http://arxiv.org/abs/1911.05825
http://arxiv.org/abs/1911.05825