Perception of factuality in selected online news media

被引:0
|
作者
Eddy, Eva [1 ]
机构
[1] Univ Presov, Inst English & Amer Studies, 17 Novembra 1, Presov 08001, Slovakia
关键词
perception; factuality; online media; broadsheet; tabloid;
D O I
10.2478/jolace-2020-0008
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The paper focuses on one's perception of factuality in selected online news media. A group of university students of English were approached and presented with ten statements about Sweden and asked to evaluate their truthfulness. Half of the group (informed respondents) were then advised on the ways media use to infer a narrative onto the reader, potentially influencing the way they view events, while the other half (uninformed respondents) were not made aware of this fact. The respondents were then presented with a news report describing a specific event that took place in Sweden; however, half of each group were asked to read its tabloid description while the other halves were shown the event as reported by a broadsheet (both online). They were then asked to reevaluate the statements they were presented with before and decide whether their opinions changed based on the article they had just read. The results suggest that one is inclined to believe what they read, regardless whether the source seems reliable and whether they are aware of the fact media might manipulate their audiences.
引用
收藏
页码:134 / 148
页数:15
相关论文
共 50 条
  • [1] Predicting Factuality of Reporting and Bias of News Media Sources
    Baly, Ramy
    Karadzhov, Georgi
    Alexandrov, Dimitar
    Glass, James
    Nakov, Preslav
    2018 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2018), 2018, : 3528 - 3539
  • [2] A News Media Bias and Factuality Profiling Framework Assisted by Modeling Correlation
    Wang, Qi
    Li, Chenxin
    Lin, Chichen
    Fan, Weijian
    Feng, Shuang
    Wang, Yuanzhong
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 81 (02): : 3351 - 3369
  • [3] leInteractively Learning Social Media Representations Improves News Source Factuality Detection
    Mehta, Nikhil
    Goldwasser, Dan
    13TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING AND THE 3RD CONFERENCE OF THE ASIA-PACIFIC CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, IJCNLP-AACL 2023, 2023, : 291 - 311
  • [4] The Images of Donald Trump on Online News Media in Indonesia Through Photojournalism: Media Construction and Readers' Perception
    Al Makmun, Muhammad Taufiq
    Kristina, Diah
    Kusciati, Karunia Purna
    Kusumastuti, Fenty
    JURNAL KOMUNIKASI-MALAYSIAN JOURNAL OF COMMUNICATION, 2020, 36 (04) : 308 - 322
  • [5] Believe It or Not! Identifying Bizarre News in Online News Media
    Indurthi, Vijayasaradhi
    Oota, Subba Reddy
    Gupta, Manish
    Varma, Vasudeva
    PROCEEDINGS OF THE ACM INDIA JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MANAGEMENT OF DATA (CODS-COMAD'18), 2018, : 257 - 264
  • [6] Understanding the motivational values for the usage of specific online news media and users' perception of information credibility
    Amosun, Tunde Simeon
    Chu Jianxun
    Rufai, Olayemi Hafeez
    Sayibu, Muhideen
    Shahani, Riffat
    Nadege, Muhimpundu
    Olaiya, Tolulope B.
    GLOBAL KNOWLEDGE MEMORY AND COMMUNICATION, 2023, 72 (1/2) : 179 - 195
  • [7] ELEMENTS OF THE CREDIBILITY OF ONLINE NEWS MEDIA
    Bulatovic, Goran
    Bulatovic, Ljiljana Lj.
    Arsenijevic, Olja
    3RD INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI2010), 2010, : 1841 - 1849
  • [8] An Opinion Facilitator for Online News Media
    Willaert, Tom
    Van Eecke, Paul
    Van Soest, Jeroen
    Beuls, Katrien
    FRONTIERS IN BIG DATA, 2021, 4
  • [9] Detecting Controversies in Online News Media
    Beelen, Kaspar
    Kanoulas, Evangelos
    van de Velde, Bob
    SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2017, : 1069 - 1072
  • [10] The effects of source cues on online news perception
    Go, Eun
    Jung, Eun Hwa
    Wu, Mu
    COMPUTERS IN HUMAN BEHAVIOR, 2014, 38 : 358 - 367