NYU's Center for Social Media and Politics

NYU's Center for Social Media and Politics's repositories

smappR

R tools for analysis of Twitter data

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youtube-data-api

A Python Client for collect and parse public data from the Youtube Data API

Language:Jupyter NotebookMIT79 5 29

urlExpander

🌬️urlExpander is a Python package for expanding shortened links (urls).

Language:PythonMIT73 59 16

smappdragon

:dragon: smappdragon is a set of tools for working with twitter data.

Language:PythonMIT29 9 29

lead_follow_apsr

Replication materials for "Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data", forthcoming in APSR

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smapphowto

:bulb: smapphowto has markdown files with instructions on how to do various things.

24 7 4

smappPy

:hammer: smappPy addresses common tasks programmers dealing with lots of data

Language:PythonGPL-2.024 8 1

pysmap

:snake: pysmap is a high level interface for working with twitter data.

Language:PythonMIT21 5 25

mediascores

R-package to estimate media scores from url sharing data

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SMaBERTa

Wrapper for stable version of RoBERTa language models

Language:PythonMIT10 14 9

smapputil

⚙ smapputil is a repository with javascript , python, and bash scripts for doing things.

Language:Python8 9 11

DASCL

PyTorch implementation of "Dictionary-Assisted Supervised Contrastive Learning" using RoBERTa

Language:PythonMIT6 50

smappboard

:flower_playing_cards: a dashboard to manage twitter collections, previously smapp-twitter-admin

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crowdsourcing_factchecking_public

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internal-dashboard

Language:Jupyter NotebookMIT3 60

smapp_text_classifier

Helperfunctions for text classification for SMaPP@NYU.

Language:Jupyter NotebookMIT3 100

twitter_elections_public_interest

Dataset of public interest interventions on Twitter for politicians and candidates during the 2020 US General Elections

3 100

collabortweet

Collaborative web framework for analyzing text (e.g., tweets) using pairwise comparisons.

Language:Python2 100

Labels_Have_Limited_Effects

Replication code and data for manuscript titled: "News credibility labels have limited average effects on news diet quality and fail to reduce misperceptions"

Language:R2 40