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A Criticism to Society (as seen by Twitter analytics)

Analytic tools are beginning to be largely employed,given their ability to rank, e.g., the visibility of social mediausers. Visibility that, in turns, can have a monetary value, sincesocial media popular people usually either anticipate or establishtrends that could impact the real world (at least, from a consumerpoint of view). The above rationale has fostered the flourishingof private companies providing statistical results for social mediaanalysis. These results have been accepted, and largely diffused,by media without any apparent scrutiny, while Academia hasmoderately focused its attention on this phenomenon.In this paper, we provide evidence that analytic resultsprovided by field-flagship companies are questionable (at least).In particular, we focus on Twitter and its “fake followers”. Wesurvey popular Twitter analytics that count the fake followers ofsome target account. We perform a series of experiments aimedat verifying the trustworthiness of their results. We compare theresults of such tools with a machine-learning classifier whosemethodology bases on scientific basis and on a sound samplingscheme. The findings of this work call for a serious re-thinking ofthe methodology currently used by companies providing analyticresults, whose present deliveries seem to lack on any reliability


Big Data Analytics for Security (DASec), Madrid, 2014

External authors: Roberto Di Pietro (Bell Labs)
IIT authors:

Angelo Spognardi

Foto di Angelo Spognardi

Type: Article in proceedings of international peer-reviewed conference
Field of reference: Information Technology and Communication Systems

File: techrep.pdf

Activity: Bolle dell'informazione e rilevamento di falsi in rete
Social Media Analysis