SMAPPNYU/moc_ratios

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Created about 3 years ago
Updated about 3 years ago

SMAPPNYU/moc_ratios

SMAPPNYU

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smappR

R tools for analysis of Twitter data

youtube-data-api

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

Jupyter Notebook

urlExpander

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

smappdragon

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

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

smapphowto

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

smappPy

🔨 smappPy addresses common tasks programmers dealing with lots of data

pysmap

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

smapp-toolkit

Python library for interacting with smapp collections

mediascores

R-package to estimate media scores from url sharing data

SMaBERTa

Wrapper for stable version of RoBERTa language models

ProgrammerGroup

Code for programmer group, courses, and public exposition

smapputil

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

smappboard

🎴 a dashboard to manage twitter collections, previously smapp-twitter-admin

DASCL

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

crowdsourcing_factchecking_public

Jupyter Notebook

internal-dashboard

Jupyter Notebook

smapp_text_classifier

Helperfunctions for text classification for SMaPP@NYU.

Jupyter Notebook

twitter_elections_public_interest

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

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"

twitter_election_misinfo_interventions

Repository for "Twitter flagged Donald Trump’s tweets with election misinformation. They continued to spread both on and off the platform."

Jupyter Notebook

krn_tools_demo

SMAPP-Website

SMAPP Website built on top of Bootstrap

smapp_language_model

Deep language model for text classification

smapp-tutorials

notebooks with tutorials on how do things

Jupyter Notebook

smapp-twitter-admin

Dashboard for ongoing smapp twitter collections

Do_Your_Own_Research