Mental DailyMental Daily
  • Clinical
  • Health
  • I/O
  • Cybernetic
  • Social
  • More
    • Opinion
    • My Bookmarks
Aa
Mental Daily
Aa
  • Clinical
  • Health
  • I/O
  • Cybernetic
  • Social
  • Opinion
Search
  • Clinical
  • Health
  • I/O
  • Cybernetic
  • Social
  • More
    • Opinion
    • My Bookmarks
Follow US
  • Twitter
  • Facebook
  • Instagram
  • Inc. Profile
  • Google Play Store
© 2022 - Mental Daily. All Rights Reserved.
Cyber

New study uses AI and text mining to detect paranoia among social media users

Staff Writer
Staff Writer 10 months ago
Updated 2022/08/15 at 6:02 AM
Share
SHARE

According to a new paper in the International Journal of Computational Science and Engineering, artificial intelligence and text mining techniques may be used to identify social media users classified as paranoid based on their set of posts on Twitter.

“This paper proposes an architecture taking advantage of artificial intelligence and text mining techniques in order to: 1) detect paranoid people by classifying their set of tweets into two classes (paranoid/not-paranoid); 2) ensure the surveillance of these people by classifying their tweets about COVID-19 into two classes (person with normal behaviour, person with inappropriate behaviour),” the study’s authors explained in their findings.

For the study, a team of researchers at Universities in Tunisia and Saudi Arabia set out to examine the behavior of users on Twitter during the COVID-19 pandemic to detect personality disorders related to paranoia.

The findings underscore the significance of people who are driven by a mistrust of authority and easily swayed by disinformation.

“Ultimately, the team’s analysis of Twitter users discussing COVID-19 could allow them to find people who may be suffering unduly and may be entering a personal crisis,” a news release of the findings read.

“In other words, the tools they discuss could be used as a proxy diagnostic that could allow qualified professionals to offer an appropriate intervention for patients with paranoia.”

You Might Also Like

Researchers use AI to generate video from brain activity

A team of researchers explore the human side of cybersecurity

The effects of bodily rhythm on behavior were investigated during smartphone study

Research explores the simple ways that can make healthy food options more appealing online

Study: Just 15-minute daily cutback in social media use can have positive effects on health

TAGGED: tech, AI, social media
Staff Writer August 14, 2022
Share this Article
Facebook Twitter Whatsapp Whatsapp Email Print
Previous Article New research shows how deepfakes expose high vulnerability in facial recognition technology
Next Article Study links low school test scores to racial segregation and lead exposure

Recommended

Clinical

Researchers use AI to generate video from brain activity

2 Min Read
Cyber

A team of researchers explore the human side of cybersecurity

3 Min Read
Cyber

The effects of bodily rhythm on behavior were investigated during smartphone study

1 Min Read
Cyber

Research explores the simple ways that can make healthy food options more appealing online

2 Min Read
//

We are a trusted online source for research news and resources on all aspects of the mind and human behavior.

Verticals

  • Clinical
  • Health
  • Social
  • I/O
  • Opinion

Social

  • Twitter
  • Facebook
  • Instagram
  • Inc. Profile
  • Google Play Store

Links

  • About
  • Contact
  • The Editor
  • Terms & Conditions
  • Privacy Policy
Follow US

© 2022 Mental Daily. All Rights Reserved.

  • Twitter
  • Facebook
  • Instagram
  • Inc. Profile
  • Google Play Store

Removed from reading list

Undo
Welcome Back!

Sign in to your account

Lost your password?