Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Bilal Ghanem"'
Autor:
Caroline Cohrdes, Seren Yenikent, Jiawen Wu, Bilal Ghanem, Marc Franco-Salvador, Felicitas Vogelgesang
Publikováno v:
JMIR Mental Health, Vol 8, Iss 6, p e27140 (2021)
BackgroundThe current COVID-19 pandemic is associated with extensive individual and societal challenges, including challenges to both physical and mental health. To date, the development of mental health problems such as depressive symptoms accompany
Externí odkaz:
https://doaj.org/article/71b30cdad6cc4d1488af3a887561cea2
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] The rise of social media has offered a fast and easy way for the propagation of conspiracy theories and other types of disinformation. Despite the research attention that has received, fake news detection remains an open problem and users keep s
Reading is integral to everyday life, and yet learning to read is a struggle for many young learners. During lessons, teachers can use comprehension questions to increase engagement, test reading skills, and improve retention. Historically such quest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8742d000448ad2135cca8fddb730d9d
Autor:
Hala Mulki, Bilal Ghanem
Publikováno v:
Forum for Information Retrieval Evaluation.
Autor:
Marc Franco-Salvador, Bilal Ghanem, Jiawen Wu, Felicitas Vogelgesang, Seren Yenikent, Caroline Cohrdes
Publikováno v:
JMIR Mental Health, Vol 8, Iss 6, p e27140 (2021)
JMIR Mental Health
JMIR Mental Health
Background The current COVID-19 pandemic is associated with extensive individual and societal challenges, including challenges to both physical and mental health. To date, the development of mental health problems such as depressive symptoms accompan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee0629fcbe0a147ba4d10e564a844904
http://edoc.rki.de/176904/8479
http://edoc.rki.de/176904/8479
Autor:
Caroline Cohrdes, Seren Yenikent, Jiawen Wu, Bilal Ghanem, Marc Franco-Salvador, Felicitas Vogelgesang
BACKGROUND The current COVID-19 pandemic is associated with extensive individual and societal challenges, including challenges to both physical and mental health. To date, the development of mental health problems such as depressive symptoms accompan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c9fe2938e733dbc2985c3b28491ae0f
https://doi.org/10.2196/preprints.27140
https://doi.org/10.2196/preprints.27140
Publikováno v:
EACL
Fake news articles often stir the readers' attention by means of emotional appeals that arouse their feelings. Unlike in short news texts, authors of longer articles can exploit such affective factors to manipulate readers by adding exaggerations or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3c93a64dfe900f562280d5a28c7abe1
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] Fake news is risky since it has been created to manipulate the readers' opinions and beliefs. In this work, we compared the language of false news to the real one of real news from an emotional perspective, considering a set of false information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::922b329b272304b0f672f9a3830b405b
https://hdl.handle.net/10251/166520
https://hdl.handle.net/10251/166520
Publikováno v:
Advances in Information Retrieval
ECIR
ECIR, Apr 2020, online, Portugal
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
ECIR
ECIR, Apr 2020, online, Portugal
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
This paper proposes the first multilingual (French, English and Arabic) and multicultural (Indo-European languages vs. less culturally close languages) irony detection system. We employ both feature-based models and neural architectures using monolin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c0b040015e75386033cc25efe9a63a1
http://arxiv.org/abs/2002.02427
http://arxiv.org/abs/2002.02427
Autor:
Anastasia Giachanou, Bilal Ghanem, Benno Stein, Eva Zangerle, Matti Wiegmann, Efstathios Stamatatos, Maximilian Mayerl, Martin Potthast, Janek Bevendorff, Enrique Manjavacas, Francisco Rangel, Günther Specht, Ilia Markov, Mike Kestemont, Paolo Rosso
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030582180
CLEF
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Working notes of CLEF 2020-Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, 22-25 September, 2020
University of Antwerp
CLEF
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Working notes of CLEF 2020-Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, 22-25 September, 2020
University of Antwerp
[EN] We briefly report on the four shared tasks organized as part of the PAN 2020 evaluation lab on digital text forensics and authorship analysis. Each tasks is introduced, motivated, and the results obtained are presented. Altogether, the four task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a1b5984c348d3aa90aeb63b6f57b8fa
https://doi.org/10.1007/978-3-030-58219-7_25
https://doi.org/10.1007/978-3-030-58219-7_25