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15 April 2021
Perceiving the World through Social Media: Toward a Less Biased View
As evidenced recently, social media heavily influence the way people perceive and respond to big events, such as the COVID-19 outbreak and the US president election. With 3.8 billion users spending an average of more than 2 hours per day on social media to keep updated with news and information, the influence of social media on people’s perception of the world has never been bigger. On the one hand, social media lower the barrier for publishing news, speed up information dissemination, and allow people to get the news faster and closer; on the other hand, such quick and abundant information may bias users as much as inform them.
First of all, the lack of professional gatekeepers and the high information dissemination capacity may facilitate the diffusion of erroneous information and rumors as much as truthful and helpful information. An unverified piece of information can be quickly circulated by thousands of peer users, and repetitive exposure can make the information sound familiar and credible to the users, a phenomenon that can be explained by the illusory-truth effect. Additionally, the social filtering and sorting mechanisms, which are developed to select news of users’ interests, may negatively influence users’ perception and knowledge due to the selective exposure to a limited range of views confirming their existing views. Third, individual differences in motivation, knowledge, and skills moderate the users’ strategy to evaluate information credibility and responses to various credibility cues (e.g. source authority and content appeal).
The big impact of social media has brought forward new waves of research on influences of social media news use on individuals and societies, factors that modify these influences, and design of technological intervention measures. These endeavors are often carried out through interdisciplinary approaches, combining theories and methods from human factors, psychology, sociology, and computer science. The purpose of this special issue is to draw the attention of scholars working in the area of human-computer interaction, psychology, media and communication, and computer science who address in their work one or more of the themes listed below.
Topics of interest may include, but are not limited to:
- The role of social media news use in shaping people’s perception and responses to major news events
- The impact of social media on public opinion climate, political polarization, and civic engagement
- Credibility perception and trust of social media news
- Biases and misinformation on social media
- Individual, social, content, and technical factors influencing social media news consumption and perception
- Cross-cultural differences in social media news consumption and perception
- Design and empirical evaluation of mechanisms and algorithms to detect fake news or rumors
- Tools, visualization, and interventions that help users to form a less biased view of news events from social media
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Manuscript submission: April 15, 2021
Completion of first round of reviews: June 30, 2021
Revised manuscript submission: August 31, 2021
Notification of final decision: November 15, 2021
Final manuscript submission: January 15, 2022
All submissions will be peer-reviewed and judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the special issue topics of interest. Submitted papers may not be under consideration for another conference or journal, nor may they be under review or submitted to another forum during the review process. The submissions should be prepared according to the guidelines of IJHCI. These can be found at the following link: https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=hihc20
All submissions should be done through the editorial manager of IJHCI: https://www.editorialmanager.com/ijhc/default.aspx
When submitting, please select the article type 'Special Issue Article', and select the current special issue in the section ‘Additional Information’. Please also specify in your cover letter that the submission is intended for the Special Issue.
Qin Gao, Tsinghua University, China
All inquiries about this special issue should be sent to: [email protected]