The not yet exploited goldmine of osint: Opportunities, open challenges and future trends


D. FILTERING OUT IRRELEVANT DATA AND



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The Not Yet Exploited Goldmine of OSINT Opportunit

D. FILTERING OUT IRRELEVANT DATA AND

MISINFORMATION

Due to the huge amount of data publicly available, an OSINT

process needs to be capable of distinguishing the relevance

of each piece of information, discarding data which do not

add quality to the investigation [82]. A researcher cannot

focus on exploring the details of an entire website, reading

a multi-page news item or analyzing a complex government

document. On the contrary, OSINT research needs to extract

keywords which actually provide value and reveal knowledge

about our target. The piece of information we are interested

in may not be explicitly posted, and the challenge would be

to extract the essence of the data source we are scrutinizing.

At the same time, the precise terms extracted serve as pivots

to create new paths of exploration.

Furthermore, it is crucial to detect misinformation that

would corrupt the results [83]. By nature, the Internet is

subjective and the majority of the content has no guarantee

of being reliable and official. The OSINT community has

to determine whether the increasing reliance on open source

data is still combined with the sources validation, which

represents a primary requirement and priority [84]. That un-

true information can divert our search, leading to erroneous

results or far from our real objective. For that reason, it would

be interesting to analyze not only the objective information,

but also the false information with the aim of extracting

intelligence.

This problem will be present in real-life research. The data

sources where we will find more valuable information about

suspects will be in forums and social networks. In these sites,

the investigator has to deal with opinions, subjective publi-

cations, and personal preferences whose veracity is question-

VOLUME 4, 2016

19



This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI

10.1109/ACCESS.2020.2965257, IEEE Access

J. Pastor-Galindo et al.: The not yet exploited goldmine of OSINT: Opportunities, open challenges and future trends

able [85]. Profiling of persons who in reality do not represent

a threat (false positives) could provoke discriminatory and

unfair attitudes that could affect the victims.


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