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Listar por palabra clave "Deception detection"

Mostrando ítems 1-6 de 6

Character N-Grams for Detecting Deceptive Controversial Opinions

Sánchez-Junquera, Juan Javier; Luis Villaseñor Pineda; Montes Gomez, Manuel; Rosso, Paolo (Springer-Verlag, 2018-08-15)

[EN] Controversial topics are present in the everyday life, and opinions about them can be either truthful or deceptive. Deceptive opinions are emitted to mislead other people in order to gain some advantage. In the most ...
Detecting Deception, Partisan, and Social Biases

Sánchez Junquera, Juan Javier (Universitat Politècnica de València, 2022-09-06)

[ES] En la actualidad, el mundo político tiene tanto o más impacto en la sociedad que ésta en el mundo político. Los líderes o representantes de partidos políticos hacen uso de su poder en los medios de comunicación, para ...
Detecting Deceptive Opinions: Intra and Cross-domain Classification using an Efficient Representation

Cagnina, Leticia; Rosso, Paolo (World Scientific, 2017-12)

[EN] Online opinions play an important role for customers and companies because of the increasing use they do to make purchase and business decisions. A consequence of that is the growing tendency to post fake reviews in ...
Fake Opinion Detection: How Similar are Crowdsourced Datasets to Real Data?

Fornaciari, Tommaso; Cagnina, Leticia; Rosso, Paolo; Poesio, Massimo (Springer-Verlag, 2020-12)

[EN] Identifying deceptive online reviews is a challenging tasks for Natural Language Processing (NLP). Collecting corpora for the task is difficult, because normally it is not possible to know whether reviews are genuine. ...
Masking domain-specific information for cross-domain deception detection

Sánchez-Junquera, Javier; Villaseñor-Pineda, Luis; Montes-y-Gómez, Manuel; Rosso, Paolo; Stamatatos, Efstathios (Elsevier, 2020-07)

[EN] The facilities provided by social media and computer-mediated communication make easy the dissemination of deceptive behavior, after which different entities or people could be affected. The deception detection by ...
Overview of the Track on Author Profiling and Deception Detection in Arabic

Rangel, Francisco; Rosso, Paolo; Charfi, Anis; Zaghouani, Wajdi; Ghanem, Bilal; Sánchez-Junquera, Javier (CEUR-WS.org, 2019-12-15)

[EN] This overview presents the Author Profiling and Deception Detection in Arabic (APDA) shared task at PAN@FIRE 2019. Two have been the main aims of this years task: i) to profile the age, gender and native language of ...