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Reddit Inc pushshift api
Pushshift Api, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pushshift+reddit+api/pushshift+api/pm39983050-39-27-0
Average 90 stars, based on 1 article reviews
pushshift api - by Bioz Stars, 2026-11
90/100 stars

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Article Title: Investigating Reddit Data on Type 2 Diabetes Management During the COVID-19 Pandemic Using Latent Dirichlet Allocation Topic Modeling and Valence Aware Dictionary for Sentiment Reasoning Analysis: Content Analysis.
Article Snippet: Data were collected from Reddit diabetes communities through the Pushshift API and classified as COVID or nonCOVID.

Article Title: Investigating Reddit Data on Type 2 Diabetes Management During the COVID-19 Pandemic Using Latent Dirichlet Allocation Topic Modeling and Valence Aware Dictionary for Sentiment Reasoning Analysis: Content Analysis.
Article Snippet: Reddit was chosen over other social networking platforms due to the segregation of special interest communities, such as those focused on diabetes, and the availability of the Pushshift API as an open-source tool for data scraping.

Article Title: Which social media platforms facilitate monitoring the opioid crisis?
Article Snippet: In some cases, outside groups have maintained third-party APIs (e.g., Pushshift [17] for Reddit).

Article Title: Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI’s GPT-3.5 Turbo Model: Classification Model Validation and Case Study
Article Snippet: We obtained posts from the Pushshift database, an archive of Reddit submissions and comments for researchers [ ].

Article Title: Medication experiences in the treatment of opioid use disorders: Insights from Reddit.
Article Snippet: The data that support the findings of this study are available on Reddit and obtained through Pushshift API.

Article Title: Investigating Reddit Data on Type 2 Diabetes Management During the COVID-19 Pandemic Using Latent Dirichlet Allocation Topic Modeling and Valence Aware Dictionary for Sentiment Reasoning Analysis: Content Analysis.
Article Snippet: Raw data of 100,887 posts between January 1, 2018, to March 5, 2021, from these 3 communities were collected from Reddit in March 2021 via the Pushshift application programming interface (API) using Python scripts in Jupyter Notebook [17].

Article Title: Investigating Reddit Data on Type 2 Diabetes Management During the COVID-19 Pandemic Using Latent Dirichlet Allocation Topic Modeling and Valence Aware Dictionary for Sentiment Reasoning Analysis: Content Analysis
Article Snippet: Data from Reddit forums related to T2D, from January 2018 to early March 2021, were downloaded using the Pushshift API; support vector machines were used to classify whether a post was made in the context of the pandemic.

Article Title: Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI's GPT-3.5 Turbo Model: Classification Model Validation and Case Study.
Article Snippet: We obtained posts from the Pushshift database, an archive of Reddit submissions and comments for researchers [22].



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