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The IMPED Model: Detecting Low-Quality Information in Social Media
Alternative Title
The IMPED Model of Information Quality
Author(s)
Date Issued
2021-05-01
Date Available
2021-10-18T12:26:59Z
Abstract
This paper introduces a model for detecting low-quality information we refer to as the Index of Measured-diversity, Partisan-certainty, Ephemerality, and Domain (IMPED). The model purports that low-quality information is characterized by ephemerality, as opposed to quality content that is designed for permanence. The IMPED model leverages linguistic and temporal patterns in the content of social media messages and linked webpages to estimate a parametric survival model and the likelihood the content will be removed from the Internet. We review the limitations of current approaches for the detection of problematic content, including misinformation and false news, which are largely based on fact-checking and machine learning, and detail the requirements for a successful implementation of the IMPED model. The paper concludes with a review of examples taken from the 2018 election cycle and the performance of the model in identifying low-quality information as a proxy for problematic content.
Other Sponsorship
National Science Foundation
Twitter
Type of Material
Journal Article
Publisher
SAGE
Journal
American Behavioral Scientist
Volume
65
Issue
6
Start Page
863
End Page
883
Copyright (Published Version)
2021 Sage
Language
English
Status of Item
Peer reviewed
ISSN
0002-7642
This item is made available under a Creative Commons License
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