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Mobile Communication and Online Falsehoods in Asia

Overview of attention for book
Cover of 'Mobile Communication and Online Falsehoods in Asia'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Complexities in Falsehoods Management and Implications for Research and Practice
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    Chapter 2 COVID-19 Falsehoods on WhatsApp: Challenges and Opportunities in Indonesia
  4. Altmetric Badge
    Chapter 3 The Unbelieving Minority: Singapore’s Anti-Falsehood Law and Vaccine Scepticism
  5. Altmetric Badge
    Chapter 4 Orders of Discourse and the Ecosystem of Rumour Management on WeChat
  6. Altmetric Badge
    Chapter 5 Understanding the Flow of Online Information and Misinformation in the Australian Chinese Diaspora
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    Chapter 6 The Battle between the Thai Government and Thai Netizens Over Mis/Disinformation During COVID-19
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    Chapter 7 Users, Technologies and Regulations: A Sociotechnical Analysis of False Information on MIMS in Asia
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    Chapter 8 No “Me” in Misinformation: The Role of Social Groups in the Spread of, and Fight Against, Fake News
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    Chapter 9 Understanding the Nature of Misinformation on Publicly Accessible Messaging Platforms: The Case of Ivermectin in Singapore
  11. Altmetric Badge
    Chapter 10 Did You Hear? Rumour Communication via Instant Messaging Apps and Its Impact on Affective Polarisation
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    Chapter 11 Fact Checking Chatbot: A Misinformation Intervention for Instant Messaging Apps and an Analysis of Trust in the Fact Checkers
  13. Altmetric Badge
    Chapter 12 Regulating Online Pandemic Falsehoods: Practices and Interventions in Southeast Asia
  14. Altmetric Badge
    Chapter 13 Countering Fake News on WhatsApp in Malaysia: Current Practices, Future Initiatives and Challenges Ahead
  15. Altmetric Badge
    Chapter 14 Towards an Effective Response Strategy for Information Harms on Mobile Instant Messaging Services
  16. Altmetric Badge
    Chapter 15 Misinformation in Open and Closed Online Platforms: Impacts and Countermeasures
  17. Altmetric Badge
    Chapter 16 Turning MIMS from a Curse into a Blessing: Tripartite Partnership for Tackling Online False Information in Taiwan
Attention for Chapter 11: Fact Checking Chatbot: A Misinformation Intervention for Instant Messaging Apps and an Analysis of Trust in the Fact Checkers
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
5 Mendeley
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Chapter title
Fact Checking Chatbot: A Misinformation Intervention for Instant Messaging Apps and an Analysis of Trust in the Fact Checkers
Chapter number 11
Book title
Mobile Communication and Online Falsehoods in Asia
Published in
arXiv, January 2023
DOI 10.1007/978-94-024-2225-2_11
Book ISBNs
978-9-40-242224-5, 978-9-40-242225-2
Authors

Lim, Gionnieve, Perrault, Simon T., Gionnieve Lim, Simon T. Perrault

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Researcher 1 20%
Other 1 20%
Unknown 2 40%
Readers by discipline Count As %
Arts and Humanities 1 20%
Unspecified 1 20%
Social Sciences 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 March 2024.
All research outputs
#16,849,153
of 25,556,408 outputs
Outputs from arXiv
#312,609
of 928,560 outputs
Outputs of similar age
#255,292
of 477,578 outputs
Outputs of similar age from arXiv
#9,652
of 29,556 outputs
Altmetric has tracked 25,556,408 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 928,560 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 477,578 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29,556 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.