Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study
Document Type
Conference Proceeding
Publication Date
2021
Abstract
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.
Publication Information
Shrestha, Anu and Spezzano, Francesca. (2021). "Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study". Advances in Information Retrieval: ECIR 2021, 120-133. https://doi.org/10.1007/978-3-030-72240-1_9
Comments
Advances in Information Retrieval: ECIR 2021 is volume 12657 of the Lecture Notes in Computer Science book series.