SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking

The rapid proliferation of social media has created new data stemming from users’ thoughts, feelings, and interests. However, this unprecedented growth has led to the widespread dissemination of misinformation—deliberately or inadvertently false content that can trigger dangerous societal ramificati...

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Main Authors: Mahmoud Mousa Hamad, Gopichandh Danala, Wolfgang Jentner, David Ebert
Format: Article
Language:English
Published: Cogitatio 2025-04-01
Series:Media and Communication
Subjects:
Online Access:https://www.cogitatiopress.com/mediaandcommunication/article/view/9543
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author Mahmoud Mousa Hamad
Gopichandh Danala
Wolfgang Jentner
David Ebert
author_facet Mahmoud Mousa Hamad
Gopichandh Danala
Wolfgang Jentner
David Ebert
author_sort Mahmoud Mousa Hamad
collection DOAJ
description The rapid proliferation of social media has created new data stemming from users’ thoughts, feelings, and interests. However, this unprecedented growth has led to the widespread dissemination of misinformation—deliberately or inadvertently false content that can trigger dangerous societal ramifications. Visual analytics combines advanced data analytics and interactive visualizations to explore data and mine insights. This article introduces the Social Media Analytics and Reporting Tool (SMART) 2.0, detailing its application in tracking misinformation on social media. An updated version of its predecessor, SMART 2.0 enables analysts to conduct real-time surveillance of social media content along with complementary data streams, including weather patterns, traffic conditions, and emergency service reports. SMART 2.0 offers enhanced capabilities like map-based, interactive, and AI-powered features that enable researchers to visualize and understand situational changes by assessing public social posts and comments. As a misinformation classification and tracking case study, we collected public, geo-tagged tweets from multiple cities in the UK during the 2024 riots. We showcased the effectiveness of SMART 2.0’s misinformation detection and tracking capabilities. Our findings show that SMART 2.0 effectively tracks and classifies misinformation using a human-in-the-loop approach.
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issn 2183-2439
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spelling doaj-art-1f59c4568bea4e28aae55cb145ebc8552025-08-20T03:56:10ZengCogitatioMedia and Communication2183-24392025-04-0113010.17645/mac.95434090SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation TrackingMahmoud Mousa Hamad0Gopichandh Danala1Wolfgang Jentner2David Ebert3Data Institute for Societal Challenges, University of Oklahoma, USAData Institute for Societal Challenges, University of Oklahoma, USAData Institute for Societal Challenges, University of Oklahoma, USAData Institute for Societal Challenges, University of Oklahoma, USAThe rapid proliferation of social media has created new data stemming from users’ thoughts, feelings, and interests. However, this unprecedented growth has led to the widespread dissemination of misinformation—deliberately or inadvertently false content that can trigger dangerous societal ramifications. Visual analytics combines advanced data analytics and interactive visualizations to explore data and mine insights. This article introduces the Social Media Analytics and Reporting Tool (SMART) 2.0, detailing its application in tracking misinformation on social media. An updated version of its predecessor, SMART 2.0 enables analysts to conduct real-time surveillance of social media content along with complementary data streams, including weather patterns, traffic conditions, and emergency service reports. SMART 2.0 offers enhanced capabilities like map-based, interactive, and AI-powered features that enable researchers to visualize and understand situational changes by assessing public social posts and comments. As a misinformation classification and tracking case study, we collected public, geo-tagged tweets from multiple cities in the UK during the 2024 riots. We showcased the effectiveness of SMART 2.0’s misinformation detection and tracking capabilities. Our findings show that SMART 2.0 effectively tracks and classifies misinformation using a human-in-the-loop approach.https://www.cogitatiopress.com/mediaandcommunication/article/view/9543machine learningmisinformationsmartsmart 2.0social mediasurveillancevisual analytics
spellingShingle Mahmoud Mousa Hamad
Gopichandh Danala
Wolfgang Jentner
David Ebert
SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking
Media and Communication
machine learning
misinformation
smart
smart 2.0
social media
surveillance
visual analytics
title SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking
title_full SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking
title_fullStr SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking
title_full_unstemmed SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking
title_short SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking
title_sort smart 2 0 social media analytics and reporting tool applied to misinformation tracking
topic machine learning
misinformation
smart
smart 2.0
social media
surveillance
visual analytics
url https://www.cogitatiopress.com/mediaandcommunication/article/view/9543
work_keys_str_mv AT mahmoudmousahamad smart20socialmediaanalyticsandreportingtoolappliedtomisinformationtracking
AT gopichandhdanala smart20socialmediaanalyticsandreportingtoolappliedtomisinformationtracking
AT wolfgangjentner smart20socialmediaanalyticsandreportingtoolappliedtomisinformationtracking
AT davidebert smart20socialmediaanalyticsandreportingtoolappliedtomisinformationtracking