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py-misinfo-exposure

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1.1	py_misinfo_exposure-1.1-py3-none-any.whl

Wheel Details

Project:	py-misinfo-exposure
Version:	1.1
Filename:	py_misinfo_exposure-1.1-py3-none-any.whl
Download:	[link]
Size:	30941
MD5:	`e81a930251c8a086a3859d4f7c1dcae5`
SHA256:	`c9e9f5176d686282b561ef09810d4037e5f63948a41cb12106935955af7cf690`
Uploaded:	2022-01-26 22:06:53 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	py-misinfo-exposure
Version:	1.1
Summary:	Calculate misinformation-exposure scores for users based on the falsity scores of public figures they follow on Twitter.
Author:	Matthew DeVerna
Author-Email:	mdeverna[at]iu.edu
Home-Page:	https://github.com/mr-devs/py_misinfo_exposure
Download-Url:	https://pypi.org/project/py_misinfo_exposure/
Project-Url:	Documentation, https://github.com/mr-devs/py_misinfo_exposure
Project-Url:	Issue Tracker, https://github.com/mr-devs/py_misinfo_exposure/issues
Project-Url:	Source Code, https://github.com/mr-devs/py_misinfo_exposure
License:	Creative Commons
Requires-Python:	>=3.7
Requires-Dist:	tweepy (>=4.4.0)
Requires-Dist:	pandas (>=1.2.4)
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 7287 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
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py_misinfo_exposure/py_misinfo_exposure.py	sha256=ACPu6ZWDKE5KarHbB_1yrG50SUWI0O3cET2H2Vd3y48	11906
py_misinfo_exposure/data/falsity_scores.csv	sha256=A17hDdgAgnma-5Svyb_Bu4paPMX6sYMWd-7f-ymeH2A	40431
py_misinfo_exposure-1.1.dist-info/LICENSE	sha256=ogEPNDSH0_dhiv_lT3ifVIdgIzHAqNA_SemnxUfPBJk	7048
py_misinfo_exposure-1.1.dist-info/METADATA	sha256=FhA3z7Nw4_q0Lukfi5nlGm1igiMARhZk1FOPXLHVvNY	8080
py_misinfo_exposure-1.1.dist-info/WHEEL	sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA	92
py_misinfo_exposure-1.1.dist-info/top_level.txt	sha256=2AYsntFO07TnHhAy8BNlyhRIaHiHRW0vhgng3-WBFMg	20
py_misinfo_exposure-1.1.dist-info/RECORD	—	—

top_level.txt

py_misinfo_exposure