Propagation Pattern as a Telltale Sign of Fake News on Social Media

被引：0
|
作者：
Pal, Anjan [1 ]
Chua, Alton Y. K. [1 ]
机构：
[1] Nanyang Technol Univ, Sch Commun & Informat, Singapore, Singapore
来源：
5TH INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM 2019) | 2019年
关键词：
fake news; real news; social media; propagation pattern; SPREAD; RUMORS;
D O I：
10.1109/infoman.2019.8714679
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This exploratory study examines how fake news differs from real news in terms of propagation pattern on social media. It analyzed 40 news (20 fake news + 20 real news) surrounding the 2016 US presidential election that emerged on Twitter. Three major observations were made. First, fake news appeared to be posted more than real news. Second, with time, the growing volume of tweets for fake news indicated its sustainable propagation to achieve a wider reach. Third, the tweet volume of real news dropped drastically after the first day. However, it was not true for fake news. The observations are discussed in light of the related literature.
引用
收藏
页码：269 / 273
页数：5
相关论文
共 50 条
  • [41] Evaluating the Role of News Content and Social Media Interactions for Fake News Detection
    Sotirakou, Catherine
    Karampela, Anastasia
    Mourlas, Constantinos
    [J]. DISINFORMATION IN OPEN ONLINE MEDIA, MISDOOM 2021, 2021, 12887 : 128 - 141
  • [42] Fake or real news? Understanding the gratifications and personality traits of individuals sharing fake news on social media platforms
    Sampat, Brinda
    Raj, Sahil
    [J]. ASLIB JOURNAL OF INFORMATION MANAGEMENT, 2022, 74 (05) : 840 - 876
  • [43] A comprehensive review on automatic detection of fake news on social media
    Manish Kumar Singh
    Jawed Ahmed
    Mohammad Afshar Alam
    Kamlesh Kumar Raghuvanshi
    Sachin Kumar
    [J]. Multimedia Tools and Applications, 2024, 83 : 47319 - 47352
  • [44] Understanding User Profiles on Social Media for Fake News Detection
    Shu, Kai
    Wang, Suhang
    Liu, Huan
    [J]. IEEE 1ST CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL (MIPR 2018), 2018, : 430 - 435
  • [45] Detection and Analysis of Fake News Users' Communities in Social Media
    Amira, Abdelouahab
    Derhab, Abdelouahid
    Hadjar, Samir
    Merazka, Mustapha
    Alam, Md. Golam Rabiul
    Hassan, Mohammad Mehedi
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (04): : 5050 - 5059
  • [46] A systematic mapping on automatic classification of fake news in social media
    João Victor de Souza
    Jorão Gomes Jr.
    Fernando Marques de Souza Filho
    Alessandreia Marta de Oliveira Julio
    Jairo Francisco de Souza
    [J]. Social Network Analysis and Mining, 2020, 10
  • [47] Proposing a model of social media user interaction with fake news
    Shirsat, Abhijeet R.
    Gonzalez, Angel F.
    May, Judith J.
    [J]. JOURNAL OF INFORMATION COMMUNICATION & ETHICS IN SOCIETY, 2022, 20 (01): : 134 - 149
  • [48] A systematic mapping on automatic classification of fake news in social media
    de Souza, Joao Victor
    Gomes Jr., Jorao
    de Souza Filho, Fernando Marques
    de Oliveira Julio, Alessandreia Marta
    de Souza, Jairo Francisco
    [J]. SOCIAL NETWORK ANALYSIS AND MINING, 2020, 10 (01)
  • [49] Are You Influenced? Modeling the Diffusion of Fake News in Social Media
    Joy, Abishai
    Shrestha, Anu
    Spezzano, Francesca
    [J]. PROCEEDINGS OF THE 2021 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2021, 2021, : 184 - +
  • [50] A comprehensive review on automatic detection of fake news on social media
    Singh, Manish Kumar
    Ahmed, Jawed
    Alam, Mohammad Afshar
    Raghuvanshi, Kamlesh Kumar
    Kumar, Sachin
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (16) : 47319 - 47352
12345