Aya Shoshan's dataset contains bibliometric records for 6,701 studies on social media and social movements published between 2005 and 2023. The data supports analysis of canonical literature, research approaches, and methods used to study social movements in the age of datafication. It was created to map the evolution of scholarship and identify gaps, such as a scarcity of experimental research isolating causal mechanisms.
Use Cases
- Mapping the evolution of academic fields based on publication metadata and citation networks
- Identifying canonical literature and research trends from a corpus of 6,701 studies
- Analyzing methodological gaps, such as the scarcity of experimental designs
- Informing future research agendas on datafication's impact on social movements
Strengths
- Contains a substantial corpus of 6,701 academic studies
- Covers a significant time range from 2005 to 2023
- Hosted on the Harvard Dataverse platform, indicating institutional curation
Limitations
- Column names and specific data structure are not described in the provided metadata
- Exact file formats, size, and license information are not specified
- The dataset's primary use is for replication, limiting direct analysis of social movements themselves
Provenance
- Source
- Harvard Dataverse, author Aya Shoshan
- Collection Method
- Compiled using bibliometric tools on academic publications
- Time Range
- 2005 to 2023
- Freshness
- Last updated on 2026-03-20
- Geography
- null