Online news veracity assessment using emotional weight

Fatin Amanina Ahmad Tarmizi, Phan Xuan Tan, Khaironi Yatim Sharif, Eiji Kamioka

研究成果: Conference contribution

抜粋

Trillions of data are being created every day on the Internet due to the growing number of social platforms on the World Wide Web (WWW). Processed data when given in context makes information of any knowledge. However, irresponsible use of the data or misinterpretation of data could be the reasons for false information dissemination. Many researchers from various fields, such as computer science and social science, draw their focus on assessing the veracity of information. There are many techniques to perceive this topic, for instance, social network behaviour, and semantic analysis. The common practice is using semantic analysis approach, where the syntactic structure is analysed and polarity of the texts is determined. In this paper, we approach the veracity assessment by using emotion analysis. We identified emotional states conveyed in news content and calculated the weight of each state in each news content. Contrary to popular belief, our finding showed that emotional, or affective states conveyed in false news are varied - positive and negative states. The distinct feature is the weight of the states in news content. Using multi-layer perceptron, we classified the news and achieved 90% accuracy with our collected dataset and 85% using LIAR dataset.

元の言語English
ホスト出版物のタイトルACM International Conference Proceeding Series
出版者Association for Computing Machinery
ページ60-64
ページ数5
ISBN(印刷物)9781450361033
DOI
出版物ステータスPublished - 2019 1 1
イベント2nd International Conference on Information Science and System, ICISS 2019 - Tokyo, Japan
継続期間: 2019 3 162019 3 19

出版物シリーズ

名前ACM International Conference Proceeding Series
Part F148384

Conference

Conference2nd International Conference on Information Science and System, ICISS 2019
Japan
Tokyo
期間19/3/1619/3/19

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

フィンガープリント Online news veracity assessment using emotional weight' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Tarmizi, F. A. A., Tan, P. X., Sharif, K. Y., & Kamioka, E. (2019). Online news veracity assessment using emotional weight. : ACM International Conference Proceeding Series (pp. 60-64). (ACM International Conference Proceeding Series; 巻数 Part F148384). Association for Computing Machinery. https://doi.org/10.1145/3322645.3322688