Evidence map›Paper›PMID 38536222›Full record

ArticleJournal of medical Internet research2024

Bridging and Bonding Social Capital by Analyzing the Demographics, User Activities, and Social Network Dynamics of Sexual Assault Centers on Twitter: Mixed Methods Study.

Jia Xue, Qiaoru Zhang, Yun Zhang, Hong Shi, Chengda Zheng, Jingchuan Fan, Linxiao Zhang, Chen Chen, Luye Li, Micheal L Shier

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.9field-weighted citation impact, top 11% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 2 countries.

Jia XueFactor Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-1668-2531
Qiaoru Zhang *Artificial Intelligence for Justice Lab, University of Toronto, Toronto, ON, Canada.ORCID 0009-0003-2044-7838
Yun Zhang *Artificial Intelligence for Justice Lab, University of Toronto, Toronto, ON, Canada.ORCID 0009-0000-0706-6297
Hong Shi *Artificial Intelligence for Justice Lab, University of Toronto, Toronto, ON, Canada.ORCID 0009-0009-7302-4381
Chengda Zheng *Artificial Intelligence for Justice Lab, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-7696-3581
Jingchuan FanFactor Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.ORCID 0009-0006-8633-0933
Linxiao ZhangFactor Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-4614-8855
Chen ChenArtificial Intelligence for Justice Lab, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-0609-0401
Luye LiDepartment of Sociology, Anthropology, Social Work, and Criminal Justice, Seton Hall University, South Orange, NJ, United States.ORCID 0000-0003-4876-6083
Micheal L ShierFactor Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-8185-0696
University of Toronto · CASeton Hall University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media platforms have gained popularity as communication tools for organizations to engage with clients and the public, disseminate information, and raise awareness about social issues. From a social capital perspective, relationship building is seen as an investment, involving a complex interplay of tangible and intangible resources. Social media-based social capital signifies the diverse social networks that organizations can foster through their engagement on social media platforms. Literature underscores the great significance of further investigation into the scope and nature of social media use, particularly within sectors dedicated to service delivery, such as sexual assault organizations.

objectiveThis study aims to fill a research gap by investigating the use of Twitter by sexual assault support agencies in Canada. It seeks to understand the demographics, user activities, and social network structure within these organizations on Twitter, focusing on building social capital. The research questions explore the demographic profile, geographic distribution, and Twitter activity of these organizations as well as the social network dynamics of bridging and bonding social capital.

methodsThis study used purposive sampling to investigate sexual assault centers in Canada with active Twitter accounts, resulting in the identification of 124 centers. The Twitter handles were collected, yielding 113 unique handles, and their corresponding Twitter IDs were obtained and validated. A total of 294,350 tweets were collected from these centers, covering >93.54% of their Twitter activity. Preprocessing was conducted to prepare the data, and descriptive analysis was used to determine the center demographics and age. Furthermore, geolocation mapping was performed to visualize the center locations. Social network analysis was used to explore the intricate relationships within the network of sexual assault center Twitter accounts, using various metrics to assess the network structure and connectivity dynamics.

resultsThe results highlight the substantial presence of sexual assault organizations on Twitter, particularly in provinces such as Ontario, British Columbia, and Quebec, underscoring the importance of tailored engagement strategies considering regional disparities. The analysis of Twitter account creation years shows a peak in 2012, followed by a decline in new account creations in subsequent years. The monthly tweet activity shows November as the most active month, whereas July had the lowest activity. The study also reveals variations in Twitter activity, account creation patterns, and social network dynamics, identifying influential social queens and marginalized entities within the network.

conclusionsThis study presents a comprehensive landscape of the demographics and activities of sexual assault centers in Canada on Twitter. This study suggests that future research should explore the long-term consequences of social media use and examine stakeholder perceptions, providing valuable insights to improve communication practices within the nonprofit human services sector and further the missions of these organizations.

Indexed as

Social CapitalSocial MediaBritish ColumbiaDemographyHumansResearch DesignCanadacommunicationgeolocationnonprofitssexual assaultsocial mediaTwitterviolence

Identifiers

PMID38536222
PMCPMC11007606
OpenAlexW4391772374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.