%0 Journal Article %1 Mocanu2015Collective %A Mocanu, Delia %A Rossi, Luca %A Zhang, Qian %A Karsai, Marton %A Quattrociocchi, Walter %D 2015 %J Computers in Human Behavior %K social-networks influence information-diffusion facebook false-information %R 10.1016/j.chb.2015.01.024 %T Collective attention in the age of (mis)information %U http://dx.doi.org/10.1016/j.chb.2015.01.024 %X In this work we study, on a sample of 2.3 million individuals, how Facebook users consumed different information at the edge of political discussion and news during the last Italian electoral competition. Pages are categorized, according to their topics and the communities of interests they pertain to, in a) alternative information sources (diffusing topics that are neglected by science and main stream media); b) online political activism; and c) main stream media. We show that attention patterns are similar despite the different qualitative nature of the information, meaning that unsubstantiated claims (mainly conspiracy theories) reverberate for as long as other information. Finally, we categorize users according to their interaction patterns among the different topics and measure how a sample of this social ecosystem (1279 users) responded to the injection of 2788 false information posts. Our analysis reveals that users which are prominently interacting with alternative information sources (i.e. more exposed to unsubstantiated claims) are more prone to interact with false claims.

@article{Mocanu2015Collective, abstract = {{In this work we study, on a sample of 2.3 million individuals, how Facebook users consumed different information at the edge of political discussion and news during the last Italian electoral competition. Pages are categorized, according to their topics and the communities of interests they pertain to, in a) alternative information sources (diffusing topics that are neglected by science and main stream media); b) online political activism; and c) main stream media. We show that attention patterns are similar despite the different qualitative nature of the information, meaning that unsubstantiated claims (mainly conspiracy theories) reverberate for as long as other information. Finally, we categorize users according to their interaction patterns among the different topics and measure how a sample of this social ecosystem (1279 users) responded to the injection of 2788 false information posts. Our analysis reveals that users which are prominently interacting with alternative information sources (i.e. more exposed to unsubstantiated claims) are more prone to interact with false claims.}}, added-at = {2019-06-10T14:53:09.000+0200}, archiveprefix = {arXiv}, author = {Mocanu, Delia and Rossi, Luca and Zhang, Qian and Karsai, Marton and Quattrociocchi, Walter}, biburl = {https://www.bibsonomy.org/bibtex/2cbeaa3e5c854ed50ba77cc6eb8599bb5/nonancourt}, citeulike-article-id = {13111111}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.chb.2015.01.024}, citeulike-linkout-1 = {http://arxiv.org/abs/1403.3344}, citeulike-linkout-2 = {http://arxiv.org/pdf/1403.3344}, day = 13, doi = {10.1016/j.chb.2015.01.024}, eprint = {1403.3344}, interhash = {71fc76e9ecd750e6745d784c07919c81}, intrahash = {cbeaa3e5c854ed50ba77cc6eb8599bb5}, issn = {0747-5632}, journal = {Computers in Human Behavior}, keywords = {social-networks influence information-diffusion facebook false-information}, month = feb, posted-at = {2014-04-04 12:31:31}, priority = {2}, timestamp = {2019-08-23T10:56:17.000+0200}, title = {{Collective attention in the age of (mis)information}}, url = {http://dx.doi.org/10.1016/j.chb.2015.01.024}, year = 2015 }