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official api  (Reddit Inc)

 
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    Reddit Inc official api
    Official Api, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/official+api/api+reddit/pm41946262-110-12-11
    Average 86 stars, based on 1 article reviews
    official api - by Bioz Stars, 2026-11
    86/100 stars

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    Article Title: Self-Identified Age Cohorts and Personal Experience Sharing in Pseudonymous Online Spaces: Natural Language Processing Analysis of Reddit.
    Article Snippet: This study used publicly available data collected via the official Reddit API.

    Article Title: Self-Identified Age Cohorts and Personal Experience Sharing in Pseudonymous Online Spaces: Natural Language Processing Analysis of Reddit.
    Article Snippet: Using the Reddit API in February 2024, up to 1000 of the most recent posts and 1000 of the most recent comments were collected for each identified user.

    Article Title: ANEST narrative–affect dataset (ANAD v1): A large-scale derived feature resource for quantifying narrative–affective discrepancy
    Article Snippet: Data collection , 351,734 English-language personal narratives collected from Reddit r/relationships (2012–2023) via Pushshift API [ ] and official Reddit API. Each text annotated with structural descriptors, Level of Complexity (LoC) via heuristic discourse-marker pipeline, VADER sentiment (compound score rescaled to 0–10), and Narrative–Affect Discrepancy Index (NADI). Pipeline implemented in Python (pandas, numpy, nltk). .

    Article Title: A Social Media Lens on the Needs and Concerns of Information Workers
    Article Snippet: Workers JALEHSADAT MAHDAVIMOGHADDAM, Faculty of Information, University of Toronto Faculty of Information, Toronto, Canada KOUSTUV SAHA, Computer Science, University of Illinois at Urbana-Champaign, Urbana, United States JULIE HUI, Information, University of Michigan, Ann Arbor, United States TAWANNA DILLAHUNT, School of Information, University of Michigan, Ann Arbor, United States EBRAHIM BAGHERI, Faculty of Information, University of Toronto Faculty of Information, Toronto, Canada

    Article Title: Peer Support in Online Women's Health Communities: Mixed Methods Formative Analysis of Reddit Discourse.
    Article Snippet: To collect the data, we used a custom Python script leveraging the Python Reddit Application Programming Interface (API) Wrapper.



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