Social Media and Attitude Change: Information Booming Promote or Resist Persuasion?

Front Psychol

CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.

Published: June 2021

Emerging social media platforms such as Twitter and its Chinese equivalent Weibo have become important in information-sharing and communication. They are also gradually becoming stronger in guiding public opinion. When compared with traditional media, these platforms have salient characteristics, such as highly efficient dissemination of information and interactive commentary, which can contribute to information overload. In earlier research, only the effect of social media on attitude change has been studied, but the specific mechanism of this effect in the context of information overload has not been found. To answer this question, we measured the attitude change of participants after they read Weibo posts about street vendors. A 2 (post-attitude: positive posts vs. negative posts) × 4 (reading time: 35 vs. 25 vs. 15 vs. 5 min) experiment was set up, and the Single Category Implicit Attitude Test was used to measure the implicit attitudes. The interaction effect revealed that in both positive and negative posts, less reading time (i.e., information overload) had a stronger influence. Users were more easily persuaded by posts under high overload. Furthermore, the changes in the attitudes of users were not simply stronger with more information. We found three stages, namely, obedience, resistance, and acceptance, with different mechanisms. Therefore, in the positive information overload condition, the attitudes of individuals eventually change in a positive way. In the negative information overload condition, individuals tend to be biased against the group being reported.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264363PMC
http://dx.doi.org/10.3389/fpsyg.2021.596071DOI Listing

Publication Analysis

Top Keywords

social media
12
attitude change
12
media attitude
8
media platforms
8
negative posts
8
posts reading
8
reading time
8
positive negative
8
overload condition
8
overload
6

Similar Publications

Sentiment analysis has become a difficult and important task in the current world. Because of several features of data, including abbreviations, length of tweet, and spelling error, there should be some other non-conventional methods to achieve the accurate results and overcome the current issue. In other words, because of those issues, conventional approaches cannot perform well and accomplish results with high efficiency.

View Article and Find Full Text PDF

Introduction: Mental health problems are the most significant cause of disability and have high annual economic costs; hence, they are a priority for the government, service providers and policymakers. Consisting of largely coastal and rural communities, the populations of Norfolk and Suffolk, UK, have elevated burdens of mental health problems, areas with high levels of deprivation and an increasing migrant population. However, these communities are underserved by research and areas with the greatest mental health needs are not represented or engaged in research.

View Article and Find Full Text PDF

Digital health technologies enabling the transition from pregnancy to early parenthood: A scoping review.

Z Evid Fortbild Qual Gesundhwes

January 2025

Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.

Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context.

View Article and Find Full Text PDF

Social networks are increasingly taking over daily life, creating a volume of unsecured data and making it very difficult to capture safe data, especially in times of crisis. This study aims to use a Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM)-based hybrid model for health monitoring and health crisis forecasting. It consists of efficiently retrieving safe content from multiple social media sources.

View Article and Find Full Text PDF

Effectiveness of 234 interventions to improve life satisfaction: A rapid systematic review.

Soc Sci Med

December 2024

Kohlrabi, Manchester, SK4 3HJ, UK; Institute of Sport Exercise & Health, Division of Surgery & Interventional Science, University College London, London, W1T 7HA, UK. Electronic address:

This rapid review evaluates interventions aimed at improving life satisfaction and aids policymakers, researchers, and practitioners by identifying research strengths, gaps, and future directions for life satisfaction research. Intervention inclusion criteria were: use of a control group; delivered in high-income OECD country; randomised control trials or quasi-experimental studies; published between Jan 2011-Oct 2023; English language; uses a validated life satisfaction outcome measure. Of 9520 search results across five academic databases and grey literature sources, a total of 189 studies with 234 intervention arms met criteria for inclusion.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!