Research Article
Amharic Fake News Detection on Social Media Using Feature Fusion
@INPROCEEDINGS{10.1007/978-3-030-93709-6_31, author={Menbere Hailu Worku and Michael Melese Woldeyohannis}, title={Amharic Fake News Detection on Social Media Using Feature Fusion}, proceedings={Advances of Science and Technology. 9th EAI International Conference, ICAST 2021, Hybrid Event, Bahir Dar, Ethiopia, August 27--29, 2021, Proceedings, Part I}, proceedings_a={ICAST}, year={2022}, month={1}, keywords={Amharic Amharic fake news Content-social feature}, doi={10.1007/978-3-030-93709-6_31} }- Menbere Hailu Worku
Michael Melese Woldeyohannis
Year: 2022
Amharic Fake News Detection on Social Media Using Feature Fusion
ICAST
Springer
DOI: 10.1007/978-3-030-93709-6_31
Abstract
These days, many people use social media as a source of information and medium of communication due to its easy to access, fast to disseminate and low-cost platform. However, it also enables the wide propagation of fake news which causes economic, political, and social crises to the society. As a result, many researchers have been working towards detecting fake news. Most of the researches concerned on linguistic analysis of news content to identify its credibility, however fake news is also written intentionally to mislead users by mimicking true news. Beside this, Amharic is one of the under-resourced language that suffer from the benefits of fake news detection. To overcome the problem of fake news using content feature and under-resourced language, this study uses a feature fusion of linguistic and social context feature of the publisher information to detect Amharic fake news. For this, a total of 4,590 instance has been collected from different Facebook pages in different domain. Each article have been annotated by professional journalists and linguist for the purposes of doing experiments. The experimental result of feature fusion-based experiment shows at least 94.13% and at most 98.7% with a high relative error reduction over the content-based approaches. The result obtained from the experiment shows that, it is promising to detect fake news using fusion feature. We are now working towards incorporating intentionally edited pictures to the news content as part of the fake news detection.
