Development of an algorithm for the geolocation of people using social networks
DOI:
https://doi.org/10.5377/nexo.v35i03.14991Keywords:
Geolocation, Social networks, Application Programming Interface, AlgorithmAbstract
In social networks, depending on the settings established in the user profile, anyone can see personal information; this includes very personal data, such as who the relatives are, their place of work, and the school they attend, among others. The more information shared, the greater the risk of compromising the profile on a Social Network, which could cause being exposed to extortion, harassment, violation of privacy, usurpation of profile or identity, among other dangers due to the inappropriate use of social networks on the Internet. In this work, a program was developed, with which, through the Application Programming Interface (API) of a social network such as Twitter, it will be possible to know from which device or application the publication was made, until knowing the place and the date that publication was made.
Downloads
551
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Universidad Nacional de Ingeniería
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors who publish in Nexo Scientific Journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of the first publication under the license Creative Commons Attribution License, which allows others to share the work with a recognition of the authorship of the work and the initial publication in Nexo Scientific Journal.
- Authors may separately establish additional agreements for the non-exclusive distribution of the version of the work published in the journal (for example, in an institutional repository or a book), with the recognition of the initial publication in Nexo Scientific Journal.
- Authors are allowed and encouraged to disseminate their works electronically (for example, in institutional repositories or in their own website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published works.