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 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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Publication Details

Journal
Media and Communication
Published
2025-04-03
DOI
https://doi.org/10.17645/mac.9543
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
4.20

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article

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

David S. Ebert, Wolfgang Jentner, Gopichandh Danala, Mahmoud Mousa Hamad
1 citations
Media and Communication
Misinformation and Its Impacts
4.20
article

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

David S. Ebert, Wolfgang Jentner, Gopichandh Danala, Mahmoud Mousa Hamad
article en
1 citations

Abstract

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.

Media and CommunicationVol. 13
Institute for Sociology of the Slovak Academy of Sciences (SK)
University of Oklahoma
Openalex Percentile: Top 9%
Misinformation and Its Impacts
4.20
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SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking — David S. Ebert, Wolfgang Jentner, et al. · Media and Communication (2025) | TGRS Research Map | TGRS