Public Sentiment on Security Cameras

The use of video surveillance in public spaces has increased rapidly, extending to residential areas and even nonmetropolitan regions. However, there is limited research on public attitudes toward CCTV, and few studies have focused on how these attitudes have changed over the years. This study examines public sentiment toward surveillance cameras from 2000 to 2020 using data from Suomi24, Finland’s largest forum. We begin by formulating a set of pertinent hypotheses and then employ the advanced Snowflake-artic-embedding model to validate these hypotheses. Simultaneously, exploratory data analysis is conducted on the collected dataset to understand trends, thematic distribution, the impact of the GDPR introduction, the effects of Snowden’s revelations, and the overall sentiment polarity. The analysis revealed key shifts in sentiment, particularly during global events like the Snowden revelations and the introduction of the GDPR. Moreover, the findings highlight a complex balance between privacy, security, and surveillance, providing insights for policymakers and technology developers aiming to navigate public concerns around surveillance practices.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825342
Primary Topic
Spam and Phishing Detection
Type
article
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article

Public Sentiment on Security Cameras

Rasmus Andersen, Mourad Oussalah, M. Sohail Khalid, Usman Muhammad
Spam and Phishing Detection
article

Public Sentiment on Security Cameras

Rasmus Andersen, Mourad Oussalah, M. Sohail Khalid, Usman Muhammad
article en

Abstract

The use of video surveillance in public spaces has increased rapidly, extending to residential areas and even nonmetropolitan regions. However, there is limited research on public attitudes toward CCTV, and few studies have focused on how these attitudes have changed over the years. This study examines public sentiment toward surveillance cameras from 2000 to 2020 using data from Suomi24, Finland’s largest forum. We begin by formulating a set of pertinent hypotheses and then employ the advanced Snowflake-artic-embedding model to validate these hypotheses. Simultaneously, exploratory data analysis is conducted on the collected dataset to understand trends, thematic distribution, the impact of the GDPR introduction, the effects of Snowden’s revelations, and the overall sentiment polarity. The analysis revealed key shifts in sentiment, particularly during global events like the Snowden revelations and the introduction of the GDPR. Moreover, the findings highlight a complex balance between privacy, security, and surveillance, providing insights for policymakers and technology developers aiming to navigate public concerns around surveillance practices.

Tampere University (FI), University of Oulu (FI), Aalto University (FI)
Openalex Percentile: Top 59%
Spam and Phishing Detection
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Public Sentiment on Security Cameras — Rasmus Andersen, Mourad Oussalah, et al. · (2024) | TGRS Research Map | TGRS