City Research Online

Abstract

Detection of foreign political influence operations is an important problem in the current era of high-information transaction. In this paper, we present a focused study on disinformation from a foreign influence campaign over twitter during the 2016 US presidential election. We introduce a new dataset of political disinformation related to a foreign influence operation on Twitter during the 2016 presidential campaign in the United States. We further analyze the differences between information pushed forward by foreign agents and legitimate information concerning word usage. We also investigate the utility of subword level information for classification. Contrary to popular belief we observe that considering only subword level information may lead to sub-optimal results.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Publisher Keywords:	Disinformation, Twitter
Subjects:	J Political Science > JA Political science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science

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