Trump, Twitter and Fake News

被引:1
|
作者
Muqsith, Munadhil Abdul [1 ]
Pratomo, Rizky Ridho [2 ]
Muzykant, Valerii L. [3 ]
机构
[1] Univ Pembangunan Nas Vet Jakarta, Jakarta, Indonesia
[2] Energi Bogor Indonesia, Bogor, Indonesia
[3] Peoples Friendship Univ Russia RUDN Univ, Sci Sociol, Moscow, Russia
来源
关键词
Hoax; Donald Trump; Populism; social media; Twitter; SOCIAL MEDIA; POPULISM; POLITICS;
D O I
10.15408/jch.v9i3.22445
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
This study aims to provide rationality regarding Donald Trump as a fake news aggregator. Donald Trump's leadership from 2017-2020 is controversial and created a massive wave of fake news. As a populist leader, he often issued statements that confused the public during his reign, causing people's trust in the Trump administration to decline. He made the statement not only on national television but also on social media. Social media is the right political communication funnel for any populist leader when it comes to audience reach. Donald Trump is an active user especially on Twitter and uses it to spread misinformation and disinformation to spread what he calls as a truth. Many statements make Donald Trump worthy of being called a fake news aggregator. This study uses a qualitative approach with the content analysis method. Thirty-two samples of Donald Trump's hoax statements that were examined found that the hoaxes spread by him were not limited to just one topic. This research has both theoretical and practical significance. From a theoretical point of view, this research contributes to the development of literature regarding the relationship between hoaxes and populist leaders. In practical terms, this literature contributes to understanding the characteristics of populists and how social media is used as a funnel to spread hoaxes.
引用
收藏
页码:591 / 614
页数:24
相关论文
共 50 条
  • [11] Read All About It: The Politicization of "Fake News" on Twitter
    Brummette, John
    DiStaso, Marcia
    Vafeiadis, Michail
    Messner, Marcus
    JOURNALISM & MASS COMMUNICATION QUARTERLY, 2018, 95 (02) : 497 - 517
  • [12] Fake News Detection on Twitter Using Propagation Structures
    Meyers, Marion
    Weiss, Gerhard
    Spanakis, Gerasimos
    DISINFORMATION IN OPEN ONLINE MEDIA, MISDOOM 2020, 2020, 12259 : 138 - 158
  • [13] Propaganda, Fake News, and Fake Trends: The Weaponization of Twitter Bots in the Gulf Crisis
    Jones, Marc Owen
    INTERNATIONAL JOURNAL OF COMMUNICATION, 2019, 13 : 1389 - 1415
  • [14] An Ensemble Approach to Detect Fake News Spreaders on Twitter
    Sarwar, Muhammad Nabeel
    UlAmin, Riaz
    Jabeen, Sidra
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2022, 22 (05): : 294 - 302
  • [15] Fake News spreading on Twitter: Curro: The "condemned dog"
    Vila Marquez, Fatima
    Arce Garcia, Sergio
    HISTORIA Y COMUNICACION SOCIAL, 2019, 24 (02): : 485 - 503
  • [16] Automatically Identifying Fake News in Popular Twitter Threads
    Buntain, Cody
    Golbeck, Jennifer
    2017 IEEE INTERNATIONAL CONFERENCE ON SMART CLOUD (SMARTCLOUD), 2017, : 208 - 215
  • [17] Checking Method for Fake News to Avoid the Twitter Effect
    Orthlieb, Teo
    Ben Abdessalem, Hamdi
    Frasson, Claude
    INTELLIGENT TUTORING SYSTEMS (ITS 2021), 2021, 12677 : 68 - 72
  • [18] We don't know if fake news elected Trump
    Le Page, Michael
    NEW SCIENTIST, 2019, 241 (3213) : 23 - 23
  • [19] Trump, Twitter, and news media responsiveness: A media systems approach
    Wells, Chris
    Shah, Dhavan
    Lukito, Josephine
    Pelled, Ayellet
    Pevehouse, Jon C. W.
    Yang, JungHwan
    NEW MEDIA & SOCIETY, 2020, 22 (04) : 659 - 682
  • [20] Fake News Identification on Twitter with Hybrid CNN and RNN Models
    Ajao, Oluwaseun
    Bhowmik, Deepayan
    Zargari, Shahrzad
    SMSOCIETY'18: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON SOCIAL MEDIA AND SOCIETY, 2018, : 226 - 230