delab-socialmedia
A python library to facilitate downloading conversation trees from social media platforms like Twitter, Reddit or Mastodon.
Science Score: 44.0%
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Low similarity (9.4%) to scientific vocabulary
Repository
A python library to facilitate downloading conversation trees from social media platforms like Twitter, Reddit or Mastodon.
Basic Info
- Host: GitHub
- Owner: juliandehne
- License: mit
- Language: Python
- Default Branch: main
- Size: 86.9 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
delab-socialmedia
A python library to facilitate downloading conversation trees from social media platforms like Twitter, Reddit or Mastodon.
Overview
This library provides a unified interface for downloading conversations from Twitter, Reddit, and Mastodon. It simplifies the process of querying and retrieving conversations based on specific criteria, such as language, query string, and the recency of conversations. The library is designed to work with connectors specific to each platform, such as twarc for Twitter, praw for Reddit, and the Mastodon API for Mastodon.
Features
- Download conversations from Twitter, Reddit, and Mastodon using a unified interface.
- Filter conversations by language, query string, and recency.
- Download the conversations in a unified format DelabTree that allows CSS analysis for the conversation trees, but also exports as pandas dataframe or networkx graph
- Validate and filter the downloaded conversations based on custom criteria.
- Download a daily sample of political discussions for CSS research
- NOTE: Twitter functions have not been tested since its demise
Installation
bash
pip install delab-socialmedia
Getting Started
Before you begin, make sure you have the necessary credentials:
- For Reddit: reddit_secret, reddit_script_id, reddit_user, reddit_password, user_agent
- For Mastodon: client_id, client_secret, access_token
Reddit Connector (get_praw function)
This function creates a connector for Reddit using the praw library.
Direct Variable Setting
```python from connectionutil import getpraw
reddit = getpraw( redditsecret='YOURREDDITSECRET', redditscriptid='YOURREDDITSCRIPTID', reddituser='YOURREDDITUSERNAME', redditpassword='YOURREDDITPASSWORD', useragent='YOURUSERAGENT' ) ```
Use YAML
yaml
reddit_secret: YOUR_REDDIT_SECRET
reddit_script_id: YOUR_REDDIT_SCRIPT_ID
reddit_user: YOUR_REDDIT_USERNAME
reddit_password: YOUR_REDDIT_PASSWORD
user_agent: YOUR_USER_AGENT
and
python
from connection_util import get_praw
reddit = get_praw(
use_yaml=True,
yaml_path='path/to/your/social_media_credentials.yml'
)
Mastodon Connector (create_mastodon function)
Direct Variable Setting
```python from connectionutil import createmastodon
mastodon = createmastodon( clientid='YOURCLIENTID', clientsecret='YOURCLIENTSECRET', accesstoken='YOURACCESSTOKEN', apibaseurl='https://mastodon.social/' ) ```
Use YAML
yaml
client_id: YOUR_CLIENT_ID
client_secret: YOUR_CLIENT_SECRET
access_token: YOUR_ACCESS_TOKEN
api_base_url: https://mastodon.social/
and
```python from connectionutil import createmastodon
mastodon = createmastodon( useyaml=True, yamlpath='path/to/your/socialmedia_credentials.yml' ) ```
Twitter Connector
Analogously, for Twitter, although the Twitter access has not been tested.
```python from twarc import Twarc2
class DelabTwarc(Twarc2): def init(self, accesstoken=None, accesstokensecret=None, bearertoken=None, consumerkey=None, consumersecret=None, useyaml=False, yamlpath=None): """ create the Twitter connector :param accesstoken: :param accesstokensecret: :param bearertoken: :param consumerkey: :param consumersecret: :param useyaml: :param yamlpath: """ ...
```
Download daily sample
```python from models.language import LANGUAGE from models.platform import PLATFORM from connectionutil import createmastodon from socialmedia import downloaddailysample_conversations
connector = createmastodon() conversations = downloaddailysampleconversations(platform=PLATFORM.MASTODON, language=LANGUAGE.ENGLISH, min_results=5, connector=connector) ```
Download Conversations
The library provides functions to download conversations based on various parameters. Here's an example of downloading conversations from Reddit:
```python from socialmedia import downloadconversations, PLATFORM, LANGUAGE from connectionutil import get_praw
connector = getpraw() conversations = downloadconversations(querystring="Politics", platform=PLATFORM.REDDIT, language=LANGUAGE.ENGLISH, recent=True, maxconversations=30, connector=connector) ```
Get Conversations by User
To get all conversations a given user has participated in on Reddit or Mastodon:
```python from socialmedia import getconversationsby_user, PLATFORM
from connectionutil import getpraw
connector = getpraw() userconversations = getconversationsbyuser(username="u/exampleuser", platform=PLATFORM.REDDIT, connector=connector) ```
Contribution
Contributions to improve the library are welcome. Please submit pull requests or open issues to suggest changes or report bugs.
License
MIT
Owner
- Login: juliandehne
- Kind: user
- Repositories: 3
- Profile: https://github.com/juliandehne
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software in your research, please cite it using the following metadata."
title: "delab-socialmedia, a python library to download conversation trees from social media"
version: 0.0.1
date-released: 2023-09-18
authors:
- given-names: Julian
family-names: Dehne
affiliation: "University of Göttingen"
orcid: "https://orcid.org/0000-0001-9265-9619"
repository-code: "https://github.com/juliandehne/delab-socialmedia"
license: MIT
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Total downloads:
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- Total versions: 1
- Total maintainers: 1
pypi.org: delab-socialmedia
a library to download reply trees in forums and social media
- Homepage: https://github.com/juliandehne/delab-socialmedia
- Documentation: https://delab-socialmedia.readthedocs.io/
- License: MIT
-
Latest release: 0.3.6
published about 2 years ago