文件列表:

LICENSE (35147, 2018-09-16)
data (0, 2018-09-16)
data\LXXWEI013_FinalReport.pdf (796826, 2018-09-16)
data\electionday_tweets.csv (409151, 2018-09-16)
data\electionday_tweets.xlsx (261181, 2018-09-16)
data\electionday_tweets_clean.xlsx (231588, 2018-09-16)
data\norm_train_params.pkl (986, 2018-09-16)
data\processed_data.pkl (525741, 2018-09-16)
data\test.csv (25144581, 2018-09-16)
data\train.csv (98628550, 2018-09-16)
data\vectorizer.pkl (126397, 2018-09-16)
extension (0, 2018-09-16)
extension\icons (0, 2018-09-16)
extension\icons\fake.jpg (13014, 2018-09-16)
extension\icons\hugewall.jpg (10783, 2018-09-16)
extension\icons\icon128.png (25799, 2018-09-16)
extension\icons\icon16.png (1780, 2018-09-16)
extension\icons\icon48.png (6040, 2018-09-16)
extension\icons\legit.jpg (12212, 2018-09-16)
extension\js (0, 2018-09-16)
extension\js\d3.v2.js (239674, 2018-09-16)
extension\js\jquery.min.js (95786, 2018-09-16)
extension\js\popup.js (3255, 2018-09-16)
extension\manifest.json (670, 2018-09-16)
extension\popup.html (1824, 2018-09-16)
requirements.txt (82, 2018-09-16)
server (0, 2018-09-16)
server\run.py (748, 2018-09-16)
server\tweet_parser.py (1320, 2018-09-16)
source (0, 2018-09-16)
source\2018-09-16 01-00-16 (0, 2018-09-16)
source\2018-09-16 01-00-16\weights.01-0.50.hdf5 (32824, 2018-09-16)
source\2018-09-16 01-00-16\weights.02-0.54.hdf5 (32824, 2018-09-16)
source\2018-09-16 01-00-16\weights.03-0.54.hdf5 (32824, 2018-09-16)
source\2018-09-16 01-00-16\weights.06-0.61.hdf5 (32824, 2018-09-16)
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# ADA Fake **Real time fake news detect** a google chrome extension for fake news detection in Twitter by its meta data at real time ## Authors * **Aviv Netanyahu** - *Machine learning* - [avivne](https://github.com/avivne) * **Dikla Gelbard-Solodkin** - *Machine learning* - [DiklaGelbard](https://github.com/DiklaGelbard) * **Aluma Gelbard** - *Chrome extension side* - [MissLummie](https://github.com/MissLummie) Created during [HackZurich 2018](https://digitalfestival.ch/en/HACK/schedule#HACK/workshops) hackathon in order to solve SRF challenge "Battling Fake News" by ADA team ## Data Sets Data set was downloaded from ["Characterizing Political Fake News in Twitter by its Meta-Data"] (https://arxiv.org/pdf/1712.05999.pdf) ### More relevant papers: * Buntain, Cody, and Jennifer Golbeck. ["Automatically Identifying Fake News in Popular Twitter Threads."](https://ieeexplore.ieee.org/document/8118443/) Smart Cloud (SmartCloud), 2017 IEEE International Conference on. IEEE, 2017. * Shu, Kai, et al. ["Fake news detection on social media: A data mining perspective."](https://arxiv.org/abs/1708.01967) ACM SIGKDD Explorations Newsletter 19.1 (2017): 22-36. * Vosoughi, Soroush, Deb Roy, and Sinan Aral. ["The spread of true and false news online."](http://science.sciencemag.org/content/359/6380/1146/tab-pdf) Science 359.6380 (2018): 1146-1151. * Castillo, Carlos, Marcelo Mendoza, and Barbara Poblete. ["Predicting information credibility in time-sensitive social media."](https://www.emeraldinsight.com/doi/abs/10.1108/IntR-05-2012-0095) Internet Research 23.5 (2013): 560-588. ## License This project is licensed under the GNU General Public License v3.0 - see the [LICENSE.md](LICENSE.md) file for details

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