%0 Conference Paper %1 joseph2014whole %A Joseph, Kenneth %A Landwehr, Peter M. %A Carley, Kathleen M. %B Social Computing, Behavioral-Cultural Modeling and Prediction %C Cham %D 2014 %E Kennedy, William G. %E Agarwal, Nitin %E Yang, Shanchieh Jay %I Springer International Publishing %K api data quality sample sampling stream streaming twitter %P 75--83 %R 10.1007/978-3-319-05579-4_10 %T Two 1%s Don't Make a Whole: Comparing Simultaneous Samples from Twitter's Streaming API %U https://link.springer.com/chapter/10.1007/978-3-319-05579-4_10 %X We compare samples of tweets from the Twitter Streaming API constructed from different connections that tracked the same popular keywords at the same time. We find that on average, over 96\% of the tweets seen in one sample are seen in all others. Those tweets found only in a subset of samples do not significantly differ from tweets found in all samples in terms of user popularity or tweet structure. We conclude they are likely the result of a technical artifact rather than any systematic bias. %@ 978-3-319-05579-4

@inproceedings{joseph2014whole, abstract = {We compare samples of tweets from the Twitter Streaming API constructed from different connections that tracked the same popular keywords at the same time. We find that on average, over 96{\%} of the tweets seen in one sample are seen in all others. Those tweets found only in a subset of samples do not significantly differ from tweets found in all samples in terms of user popularity or tweet structure. We conclude they are likely the result of a technical artifact rather than any systematic bias.}, added-at = {2021-05-12T11:21:16.000+0200}, address = {Cham}, author = {Joseph, Kenneth and Landwehr, Peter M. and Carley, Kathleen M.}, biburl = {https://www.bibsonomy.org/bibtex/22a2e0e399e4a808c3da5625c5a272a62/jaeschke}, booktitle = {Social Computing, Behavioral-Cultural Modeling and Prediction}, description = {Two 1%s Don’t Make a Whole: Comparing Simultaneous Samples from Twitter’s Streaming API | SpringerLink}, doi = {10.1007/978-3-319-05579-4_10}, editor = {Kennedy, William G. and Agarwal, Nitin and Yang, Shanchieh Jay}, interhash = {ec9d88f770f9b56f3b1a8a98227542a7}, intrahash = {2a2e0e399e4a808c3da5625c5a272a62}, isbn = {978-3-319-05579-4}, keywords = {api data quality sample sampling stream streaming twitter}, pages = {75--83}, publisher = {Springer International Publishing}, timestamp = {2021-05-12T11:21:16.000+0200}, title = {Two 1%s Don't Make a Whole: Comparing Simultaneous Samples from Twitter's Streaming API}, url = {https://link.springer.com/chapter/10.1007/978-3-319-05579-4_10}, year = 2014 }