Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
---|---|---|
Article Number | 03004 | |
Number of page(s) | 6 | |
Section | Blockchain, AI, and Technology Integration | |
DOI | https://doi.org/10.1051/itmconf/20257303004 | |
Published online | 17 February 2025 |
Utilizing Web Scraping Technology to Monitor Public Opinion on Environmental Policies
College Of Arts & Science, New York University, 10003, New York, the United States
* Corresponding author: yc6062@nyu.edu
Web scraping, an automated tool for extracting and analyzing large amounts of data from websites and social media platforms, has become an essential practice for researchers and policymakers. This paper examines the application of web scraping technology to monitor public sentiment towards environmental policies. In an age where digital platforms are crucial to public discourse, governments and researchers have increasingly utilised web scraping for real-time sentiment monitoring. This approach presents considerable ethical dilemmas, especially with user privacy and data security. This paper rigorously analyses these obstacles, emphasising concerns such as data integrity, user consent, and adherence to legislation. Contemporary academic methodologies illustrate the technical advantages of web scraping while simultaneously emphasising its ethical quandaries. This study proposes various methods for reconciling the necessity of data access with the safeguarding of user privacy, including the implementation of anonymisation techniques and the formulation of explicit ethical frameworks. The findings highlight the imperative for responsible web scraping to guarantee ethical adherence while optimising its effectiveness in analysing environmental debate.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.