Datasets:

cathw
/

reddit_climate_comment

@@ -136,10 +136,6 @@ comments: Sequence - Sequence of comments associated with the post.
 3. Comparative Analysis Across Subreddits: The inclusion of multiple subreddits related to climate change, energy, and renewable energy allows for comparative analysis. By comparing discussions across different thematic areas, researchers can identify common trends, differences in perspectives, and evolving narratives within the Reddit community.
 4. Community Representation and Diversity: The dataset aims to include comments from diverse subreddit communities to ensure a broad representation of opinions and perspectives. This diversity enriches the dataset and enables researchers to capture a wide range of voices and viewpoints on climate and energy-related topics.
-### Source Data
-The source data for this dataset comprises comments contributed by Reddit users participating in discussions on subreddit topics within designated subreddits. The comments were extracted from the top posts within these subreddits using the Reddit API.
 #### Data Collection and Processing
 The data collection process involved extracting comments from the top posts in selected subreddits, including "Climate," "Energy," "RenewableEnergy”, “ClimateChange”, “ClimateActionPlan”, “Environment”, “Sustainability”, and “Zerowaste”, using the Reddit API. The PRAW Python library was utilized for interacting with the Reddit API. Specifically, the top ~1000 posts were considered in each subreddit, with comments and replies collected under each post. The data collection was performed on Feburary 21st and 22nd, 2024 with code in [reddit_data_collection.py](https://huggingface.co/datasets/cathw/reddit_climate_comment/blob/main/reddit_data_collection.py).
@@ -148,7 +144,7 @@ The processing steps included:
 1. Parsing Timestamps: convert timestamps to a standardized date-time format.
 2. Empty Cell: convert empty cells to None ensure dataset integrity and cleaness.
-3. Updated Data Organization: to enhance the structure and organization of the datase
 **Benefits of the New Structure**
@@ -163,10 +159,6 @@ These steps aimed to prepare the data for analysis while maintaining and improvi
 The source data producers are Reddit users who contributed comments to discussions on climate change, energy, and renewable energy topics within the specified subreddits.
-#### Personal and Sensitive Information
-[More Information Needed]
 ## Bias, Risks, and Limitations
 When dealing with discussions related to climate, energy, and renewable energy on the Reddit platform, it's essential to consider potential biases that may influence the data and subsequent analyses.
@@ -186,22 +178,19 @@ In addition to biases, there are several other known limitations associated with
 ### Recommendations
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 ## Citation [optional]
 **BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
 ## Contribution
-We express gratitude to the Reddit community for their contributions to climate change and energy discussions. Special thanks to the PRAW library for enabling efficient Reddit API interactions, making this dataset possible.
-## Dataset Card Contact
-[More Information Needed]

 3. Comparative Analysis Across Subreddits: The inclusion of multiple subreddits related to climate change, energy, and renewable energy allows for comparative analysis. By comparing discussions across different thematic areas, researchers can identify common trends, differences in perspectives, and evolving narratives within the Reddit community.
 4. Community Representation and Diversity: The dataset aims to include comments from diverse subreddit communities to ensure a broad representation of opinions and perspectives. This diversity enriches the dataset and enables researchers to capture a wide range of voices and viewpoints on climate and energy-related topics.
 #### Data Collection and Processing
 The data collection process involved extracting comments from the top posts in selected subreddits, including "Climate," "Energy," "RenewableEnergy”, “ClimateChange”, “ClimateActionPlan”, “Environment”, “Sustainability”, and “Zerowaste”, using the Reddit API. The PRAW Python library was utilized for interacting with the Reddit API. Specifically, the top ~1000 posts were considered in each subreddit, with comments and replies collected under each post. The data collection was performed on Feburary 21st and 22nd, 2024 with code in [reddit_data_collection.py](https://huggingface.co/datasets/cathw/reddit_climate_comment/blob/main/reddit_data_collection.py).
 1. Parsing Timestamps: convert timestamps to a standardized date-time format.
 2. Empty Cell: convert empty cells to None ensure dataset integrity and cleaness.
+3. Updated Data Organization: update data structure to enhance the organization of the dataset and improve users' assessibility.
 **Benefits of the New Structure**
 The source data producers are Reddit users who contributed comments to discussions on climate change, energy, and renewable energy topics within the specified subreddits.
 ## Bias, Risks, and Limitations
 When dealing with discussions related to climate, energy, and renewable energy on the Reddit platform, it's essential to consider potential biases that may influence the data and subsequent analyses.
 ### Recommendations
+Users should be made aware of the risks, biases, and limitations of the dataset. More information is needed for further recommendations.
 ## Citation [optional]
 **BibTeX:**
+```bibtex
+@InProceedings{huggingface:dataset,
+title = {Reddit Climate Comment},
+author={Catherine Wang
+},
+year={2024}
+}
 ## Contribution
+We express gratitude to the Reddit community for their contributions to climate change and energy discussions. Special thanks to the PRAW library for enabling efficient Reddit API interactions, making this dataset possible.