Wikipedia's Balancing Act: A Tool for Collective Intelligence or Mass Surveillance?

• URL: http://arxiv.org/abs/2212.05828v1
• Date: Mon, 12 Dec 2022 11:03:10 GMT
• Title: Wikipedia's Balancing Act: A Tool for Collective Intelligence or Mass Surveillance?
• Authors: Simon Liu
• Abstract summary: This paper argues that Wikipedia has evolved beyond its original function as an online encyclopedia in an increasingly complex data-driven society. Case studies are provided from NSA government surveillance practices, the anti-SOPA legislation movement, and research that covers Wikipedia's involvement with participatory journalism, disinformation, self-censorship, and the use of Tor. This paper is a wake-up call to individuals, private institutions, and governments to remain vigilant about the storage and use of personal information as a result of contributing to online communities.
• Score: 0.8122270502556374
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Wikipedia has evolved beyond its original function as an online encyclopedia in an increasingly complex data-driven society. The social platform is met with a balancing act between collective intelligence and mass surveillance; processes need to be developed to protect individuals and the community from government mass surveillance without sacrificing the important contributions made through prohibited anonymous communication software. Case studies are provided from NSA government surveillance practices, the anti-SOPA legislation movement, and research that covers Wikipedia's involvement with participatory journalism, disinformation, self-censorship, and the use of Tor. This paper proposes that a common ground can be developed between individuals, public and private institutions through future research in socio-cultural anthropology and policy frameworks around data retention and government accountability. Wikipedia is used as an example within the US intelligence community as a complex organisation that can adapt to changes through its iterative nature, which draws insight into how policy frameworks can be future-proofed. Finally, this paper is a wake-up call to individuals, private institutions, and governments to remain vigilant about the storage and use of personal information as a result of contributing to online communities.

Related papers

• Smoke Screens and Scapegoats: The Reality of General Data Protection Regulation Compliance -- Privacy and Ethics in the Case of Replika AI [1.325665193924634]
  This paper takes a critical approach towards examining the intricacies of these issues within AI companion services. We analyze articles from public media about the company and its practices to gain insight into the trustworthiness of information provided in the policy. The results reveal despite privacy notices, data collection practices might harvest personal data without users' full awareness.
  arXiv  Detail & Related papers  (2024-11-07T07:36:19Z)
• SoK: The Gap Between Data Rights Ideals and Reality [46.14715472341707]
  Do rights-based privacy laws effectively empower individuals over their data? This paper scrutinizes these approaches by reviewing empirical studies, news articles, and blog posts.
  arXiv  Detail & Related papers  (2023-12-03T21:52:51Z)
• Navigating Surveillance Capitalism: A Critical Analysis through philosophical perspectives in Computer Ethics [0.0]
  Surveillance capitalism is the practice of collecting and analyzing massive amounts of user data. Tech companies like Google and Facebook use users' personal information to deliver personalized content and advertisements. Another example of surveillance capitalism is the use of military technology to collect and analyze data for national security purposes.
  arXiv  Detail & Related papers  (2023-05-05T18:37:56Z)
• The Design and Implementation of a National AI Platform for Public Healthcare in Italy: Implications for Semantics and Interoperability [62.997667081978825]
  The Italian National Health Service is adopting Artificial Intelligence through its technical agencies. Such a vast programme requires special care in formalising the knowledge domain. Questions have been raised about the impact that AI could have on patients, practitioners, and health systems.
  arXiv  Detail & Related papers  (2023-04-24T08:00:02Z)
• Adherence to Misinformation on Social Media Through Socio-Cognitive and Group-Based Processes [79.79659145328856]
  We argue that when misinformation proliferates, this happens because the social media environment enables adherence to misinformation. We make the case that polarization and misinformation adherence are closely tied.
  arXiv  Detail & Related papers  (2022-06-30T12:34:24Z)
• FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference [61.068947982746224]
  FacTeR-Check enables retrieving fact-checked information, unchecked claims verification and tracking dangerous information over social media. The architecture is validated using a new dataset called NLI19-SP that is publicly released with COVID-19 related hoaxes and tweets from Spanish social media. Our results show state-of-the-art performance on the individual benchmarks, as well as producing useful analysis of the evolution over time of 61 different hoaxes.
  arXiv  Detail & Related papers  (2021-10-27T15:44:54Z)
• Censorship of Online Encyclopedias: Implications for NLP Models [0.0]
  We show how government repression, censorship, and self-censorship may impact training data and the applications that draw from them. We show that word embeddings trained on Baidu Baike, an online Chinese encyclopedia, have very different associations between adjectives and a range of concepts. Our paper shows how government repression, censorship, and self-censorship may impact training data and the applications that draw from them.
  arXiv  Detail & Related papers  (2021-01-22T19:09:53Z)
• An Agenda for Disinformation Research [3.083055913556838]
  Disinformation erodes trust in the socio-political institutions that are the fundamental fabric of democracy. The distribution of false, misleading, or inaccurate information with the intent to deceive is an existential threat to the United States. New tools and approaches must be developed to leverage these affordances to understand and address this growing challenge.
  arXiv  Detail & Related papers  (2020-12-15T19:32:36Z)
• Second layer data governance for permissioned blockchains: the privacy management challenge [58.720142291102135]
  In pandemic situations, such as the COVID-19 and Ebola outbreak, the action related to sharing health data is crucial to avoid the massive infection and decrease the number of deaths. In this sense, permissioned blockchain technology emerges to empower users to get their rights providing data ownership, transparency, and security through an immutable, unified, and distributed database ruled by smart contracts.
  arXiv  Detail & Related papers  (2020-10-22T13:19:38Z)
• A vision for global privacy bridges: Technical and legal measures for international data markets [77.34726150561087]
  Despite data protection laws and an acknowledged right to privacy, trading personal information has become a business equated with "trading oil" An open conflict is arising between business demands for data and a desire for privacy. We propose and test a vision of a personal information market with privacy.
  arXiv  Detail & Related papers  (2020-05-13T13:55:50Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.