• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, October 15, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Health

Spreading rumors on Twitter and mistaking retweets for truth

Bioengineer.org by Bioengineer.org
January 18, 2018
in Health
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram
IMAGE

Credit: Mary Ann Liebert, Inc., publishers

New Rochelle, NY, March 22, 2017–A new study of the believability of information received via Twitter and the intention to pass on a tweet–whether news or rumor–is influenced by the number of times the information has already been retweeted. Number of retweets can serve as a normative cue that leads a person to presume that an unverified rumor is true, increasing the likelihood that they will share it with others, according to the study published in Cyberpsychology, Behavior, and Social Networking, a peer-reviewed journal from Mary Ann Liebert, Inc., publishers. The article is available free on the Cyberpsychology, Behavior, and Social Networking website until April 24, 2017.

In the article entitled "Normative Mechanism of Rumor Dissemination on Twitter," Hyegyu Lee, Handong University, Pohang, and Hyun Jung Oh, CHA University, Pocheon, South Korea, describe an online experiment that included 639 Twitter users. The results indicated that users viewed both news and rumors shared in tweets as uncertain information. They determined the believability of the information based on how others viewed it. If the information had been highly retweeted it was more likely to be considered as believable.

"Whether by word-of-mouth, email, or Twitter, rumors proliferate quite easily. We must remain adamant in our use of critical-thinking skills to evaluate information and avoid equating popularity with plausibility," says Editor-in-Chief Brenda K. Wiederhold, PhD, MBA, BCB, BCN, Interactive Media Institute, San Diego, California and Virtual Reality Medical Institute, Brussels, Belgium.

###

About the Journal

Cyberpsychology, Behavior, and Social Networking is an authoritative peer-reviewed journal published monthly online with Open Access options and in print that explores the psychological and social issues surrounding the Internet and interactive technologies. Complete tables of contents and a sample issue may be viewed on the Cyberpsychology, Behavior, and Social Networking website.

About the Publisher

Mary Ann Liebert, Inc., publishers is a privately held, fully integrated media company known for establishing authoritative peer-reviewed journals in many promising areas of science and biomedical research, including Games for Health Journal, Telemedicine and e-Health, and Journal of Child and Adolescent Psychopharmacology. Its biotechnology trade magazine, GEN (Genetic Engineering & Biotechnology News), was the first in its field and is today the industry's most widely read publication worldwide. A complete list of the firm's 80 journals, books, and newsmagazines is available on the Mary Ann Liebert, Inc., publishers website.

Mary Ann Liebert, Inc. 140 Huguenot St., New Rochelle, NY 10801-5215 http://www.liebertpub.com Phone: (914) 740-2100 (800) M-LIEBERT Fax: (914) 740-2101

Media Contact

Kathryn Ryan
[email protected]
914-740-2250
@LiebertPub

http://www.liebertpub.com

Share12Tweet7Share2ShareShareShare1

Related Posts

Predicting US Opioid Deaths with Machine Learning

October 15, 2025

CRISPR Screen Spots Sec31A in Alpha Cell Survival

October 15, 2025

Oligomers Create Stable RNA G-Quadruplex to Halt Translation

October 15, 2025

China’s Demand Strains Brazil’s Land and Water Resources

October 15, 2025
Please login to join discussion

POPULAR NEWS

  • Sperm MicroRNAs: Crucial Mediators of Paternal Exercise Capacity Transmission

    1245 shares
    Share 497 Tweet 311
  • New Study Reveals the Science Behind Exercise and Weight Loss

    105 shares
    Share 42 Tweet 26
  • New Study Indicates Children’s Risk of Long COVID Could Double Following a Second Infection – The Lancet Infectious Diseases

    101 shares
    Share 40 Tweet 25
  • Revolutionizing Optimization: Deep Learning for Complex Systems

    92 shares
    Share 37 Tweet 23

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

GC/MS Metabolomics Uncovers Thyroid Cancer Biomarkers

Predicting US Opioid Deaths with Machine Learning

Novel Artificial Neuron Utilizes Molybdenum Disulfide Plasticity

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 65 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.