Making retweeting social: The influence of content and context information on sharing news in Twitter

被引：66
|
作者：
Rudat, Anja [1 ]
Buder, Juergen [1 ]
机构：
[1] Knowledge Media Res Ctr, D-72076 Tubingen, Germany
来源：
COMPUTERS IN HUMAN BEHAVIOR | 2015年 / 46卷
关键词：
Agent awareness; Informational value; News; Retweeting; Social navigation; Twitter; COMPUTER-MEDIATED COMMUNICATION; AWARENESS; KNOWLEDGE; MODERATION; BEHAVIOR; CSCL;
D O I：
10.1016/j.chb.2015.01.005
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
Spreading news in Web 2.0 is easy and ubiquitous, especially in Twitter via retweeting. However, while some news develops viral power, other remains disregarded. The paper presents two laboratory experiments about potentially influencing criteria on retweeting. Study 1 investigated whether content criteria (informational value) and context criteria (agent awareness) influence retweeting decisions. It was hypothesized that agent awareness would moderate the influence of informational value on retweeting. Results did not confirm the hypothesis but instead revealed that both high informational value and agent awareness information led to retweeting. Further, the influence of both informational value and agent awareness on retweeting was mediated by the perceived importance of the tweets. Study 2 investigated the influence of the informational value of the news, agent awareness, and in-group reference. It was hypothesized that the influence of informational value and of agent awareness on retweeting are moderated by in-group reference. The results confirmed these assumptions and showed that informational value had more influence if agents did not belong to a salient in-group compared to if they did. In contrast, agent awareness had more influence if agents belonged to a salient in-group compared to if they did not. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：75 / 84
页数：10
相关论文
共 50 条
  • [41] Cone-KG: A Semantic Knowledge Graph with News Content and Social Context for Studying Covid-19 News Articles on Social Media
    Al-Obeidat, Feras
    Adedugbe, Oluwasegun
    Hani, Anoud Bani
    Benkhelifa, Elhadj
    Majdalawieh, Munir
    2020 SEVENTH INTERNATIONAL CONFERENCE ON SOCIAL NETWORK ANALYSIS, MANAGEMENT AND SECURITY (SNAMS), 2020, : 116 - 122
  • [42] Context matters: Investigating information sharing in mixed-visual ability social interactions
    Bandukda, Maryam
    Wang, Yichen
    Hernandez, Monica Perusquia
    Li, Franklin Mingzhe
    Holloway, Catherine
    EXTENDED ABSTRACTS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2024, 2024,
  • [43] What a social capital perspective can bring to the understanding of information sharing in a university context
    Totterman, Anna-Karin
    Widen-Wulff, Gunilla
    INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL, 2007, 12 (04):
  • [44] Exploring the Influence of Comment Tone and Content in Response to Misinformation in Social Media News
    Kim, Ji Won
    Chen, Gina
    JOURNALISM PRACTICE, 2021, 15 (04) : 456 - 470
  • [45] Context and dynamics of social interaction and information search in decision making for discretionary travel
    Huan, TCTC
    Beaman, J
    CONSUMER PSYCHOLOGY OF TOURISM, HOSPITALITY AND LEISURE, VOL 3, 2004, : 149 - 159
  • [46] Impact of User Awareness, Trust, and Privacy Concerns on Sharing Personal Information on Social Media: Facebook, Twitter, and Instagram
    Paramarta, Valentinus
    Jihad, Muhammad
    Dharma, Ardhian
    Hapsari, Ika Chandra
    Sandhyaduhita, Puspa Indahati
    Hidayanto, Achmad Nizar
    2018 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2018, : 271 - 276
  • [47] The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets
    Charbonneau, Esther
    Mellouli, Sehl
    Chouikh, Arbi
    Couture, Laurie-Jane
    Desroches, Sophie
    JMIR INFODEMIOLOGY, 2022, 2 (02):
  • [48] How Does Social Tie Influence the User Information Sharing Behavior in Social Commerce Sites
    Liu, Libo
    Shi, Yani
    Tian, Xuemei
    Yan, Jiaqi
    HCI IN BUSINESS, GOVERNMENT AND ORGANIZATIONS: ECOMMERCE AND CONSUMER BEHAVIOR, PT I, 2019, 11588 : 298 - 305
  • [49] User response to e-WOM in social networks: how to predict a content influence in Twitter
    Dahka, Zohreh Yousefi
    Hajiheydari, Nastaran
    Rouhani, Saeed
    INTERNATIONAL JOURNAL OF INTERNET MARKETING AND ADVERTISING, 2020, 14 (01) : 91 - 111
  • [50] Public Disclosure on Social Media of Identifiable Patient Information by Health Professionals: Content Analysis of Twitter Data
    Ahmed, Wasim
    Jagsi, Reshma
    Gutheil, Thomas G.
    Katz, Matthew S.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (09)
12345