An end to the wild west of social media research
A response to Axel Bruns
Bibliographic Data
| ID | 20508331 |
|---|---|
| Authors | Cornelius Puschmann (0000-0002-3189-0662, Leibniz Institute for Media Research ∣ Hans Bredow Institute, Hamburg, Germany, corresponding author) |
| Year | 2019 |
| Volume | 22 |
| Issue | 11 |
| Pages | 1582-1589 |
| Publication date | 2019-09-19 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Information Communication & Society (JOURNAL) |
| Journal identifiers | ISSN: 1369-118X • E-ISSN: 1468-4462 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1369118x.2019.1646300 |
| OpenAlex | W2965114712 |
| Language | EN |
| Citations received | 37 |
| References cited | 5 |
Current models of data access in social media research offer clear benefits, but are also fraught in a number of ways, including by posing risks to user privacy, being constrained in terms of reliability and reproducibility of results, and incentivizing questionable and in some cases unethical research practices. I argue that partnerships between academics and industry represent one potential option for improving this situation. While no panacea, such arrangements may be able to contribute to a more rules-based and less anarchic situation in social media research, placing greater emphasis on preserving user privacy and the reproducibility of results, rather than mainly on compiling large data sets. Due to a number of recent shifts, not just in research, but in the public discourse surrounding social media platforms and user data, we are entering an era of increased institutionalization and standardization in the study of online communication. This new environment appears poised to replace the ‘Wild West of social media research’ that we have witnessed in the past, in which academics compile huge troughs of data with few constraints, not always acting in the public’s best interest
Media studies · Political science · Social media · Sociology · Ethics and Social Impacts of AI · Law · Misinformation and Its Impacts · Social Media and Politics
Australia’s Big Gamble
Researching visual protest and politics with “extra-hard” data
The banality of WhatsApp
Methods for datafication, datafication of methods
“The Spy Who Loved Me”
Towards platform observability
The Democratic Significance of Everyday News Use
Conspiracy theories in digital environments
Rethinking Scaling Up Content Analysis
The Highs in Communication Research
The Challenges of Replicating Volatile Platform-Data Studies
Open-Source’s Inspirations for Computational Social Science
Seeing like an API
Collecting migrants' Facebook posts
To scrape or not to scrape, this is dilemma. The post-API scenario and implications on digital research
Advocating for Platform Data Access
User Spatial Content in Social Research
Scoping Review
Platform enclosure of human behavior and its measurement
From archive cultures to ephemeral content, and back
The rise of Instagram as a tool for political communication
Picture-perfect populism
Digital methods in a post-API environment
‘Win a sweater with the PM’S face on it’ – A longitudinal study of Norwegian party Facebook engagement strategies
User-centric approaches for collecting Facebook data in the ‘post-API age’
Forgetful by design? A critical audit of YouTube’s search API for academic research
Using Social Media as a Source for Understanding Public Perceptions of Archaeology
At the mercy of the objects, we study
Welcome to favelas, but in Italy
Counter-archiving Facebook
The extrajudicial digital
Computational Social Science and the Study of Political Communication
(Nearly) Ten Years of Social Media and Political Elections in Italy
Studying Instagram Beyond Selfies
The Institutional Impacts of Algorithmic Distribution
What You Can Scrape and What Is Right to Scrape
Important relationships in a multilevel world
| Unique citing works | 37 |
|---|---|
| Citations per year | 5,29 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 34 |