Evidence map›Paper›PMID 35125937›Full record

ArticleInformation systems frontiers : a journal of research and innovation2022

User Privacy, Surveillance and Public Health during COVID-19 - An Examination of Twitterverse.

Paras Bhatt, Naga Vemprala, Rohit Valecha, Govind Hariharan, H Raghav Rao

Abstract read
In one paragraph

Article in Information systems frontiers : a journal of research and innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Special Issue on Bright Information and Communication Technologies in the 21st Century.Information systems frontiers : a journal of research and innovation · 2023
    Article
  2. Information Privacy Behaviors during the COVID-19 Pandemic: Focusing on the Restaurant Context.Information systems frontiers : a journal of research and innovation · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Paras BhattDepartment of Information Systems and Cyber Security, University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX 78249 USA.ORCID 0000-0001-8225-7157
Naga VempralaPamplin School Of Business, University of Portland, 5000 N Willamette Blvd, Portland, OR 97203 USA.
Rohit ValechaDepartment of Information Systems and Cyber Security, University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX 78249 USA.
Govind HariharanDepartment of Economics, Finance and Quantitative Analysis, Coles College of Business, Kennesaw State University, 560 Parliament Garden Way, MD 0403, Kennesaw, GA 30144 USA.
H Raghav RaoDepartment of Information Systems and Cyber Security, University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX 78249 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online users frequently rely on social networking platforms to transmit public concerns and raise awareness about societal issues. With many government organizations actively employing social media data in recent times, the need for processing public concerns on social media has become a critical topic of interest across academic scholars and practitioners. However, the growing volume of social media data makes it difficult to process all the issues under a single umbrella, causing to overlook the main topic of interest within communication technologies, such as privacy. For example, during the COVID-19 pandemic, arguments on privacy and health issues exploded on Twitter, with several threads centered on contact tracking, health data gathering, and its usage by government agencies. To address the challenges of rising data volumes and to understand the importance of privacy concerns, particularly among users seeking greater privacy protection during this pandemic, we conduct a focused empirical analysis of user tweets about privacy. In this two-part research, our first study reveals three macro privacy issues of discussion distilled from the Twitter corpus, subsequently subdivided into 12 user privacy categories. The second study builds on the findings of the first study, focusing on the primary difficulties highlighted in the macro privacy subjects-contact tracing and digital surveillance. Using a document clustering approach, we present implications for the focal privacy topics that policymakers, agencies, and governments should consider for offering better privacy protections and help the community rebuild.

Indexed as

CoronavirusCOVID-19Hierarchical clusteringPrivacySocial MediaText mining

Identifiers

PMID35125937
PMCPMC8801930

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.