TY - GEN
T1 - Textual Characteristics of News Title and Body to Detect Fake News
T2 - 43rd European Conference on Information Retrieval, ECIR 2021
AU - Shrestha, Anu
AU - Spezzano, Francesca
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Fake news, a deliberately designed news to mislead others, is becoming a big societal threat with its fast dissemination over the Web and social media and its power to shape public opinion. Many researchers have been working to understand the underlying features that help identify these fake news on the Web. Recently, Horne and Adali found, on a small amount of data, that news title stylistic and linguistic features are better than the same type of features extracted from the news body in predicting fake news. In this paper, we present our attempt to reproduce the same results to validate their findings. We show which of their findings can be generalized to larger political and gossip news datasets.
AB - Fake news, a deliberately designed news to mislead others, is becoming a big societal threat with its fast dissemination over the Web and social media and its power to shape public opinion. Many researchers have been working to understand the underlying features that help identify these fake news on the Web. Recently, Horne and Adali found, on a small amount of data, that news title stylistic and linguistic features are better than the same type of features extracted from the news body in predicting fake news. In this paper, we present our attempt to reproduce the same results to validate their findings. We show which of their findings can be generalized to larger political and gossip news datasets.
KW - Fake news
KW - Linguistic analysis
KW - Misinformation detection on the web
UR - http://www.scopus.com/inward/record.url?scp=85107354944&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-72240-1_9
DO - 10.1007/978-3-030-72240-1_9
M3 - Conference contribution
AN - SCOPUS:85107354944
SN - 9783030722395
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 120
EP - 133
BT - Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings
A2 - Hiemstra, Djoerd
A2 - Moens, Marie-Francine
A2 - Mothe, Josiane
A2 - Perego, Raffaele
A2 - Potthast, Martin
A2 - Sebastiani, Fabrizio
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 28 March 2021 through 1 April 2021
ER -