Detecting censorship on the Internet

In the post-Snowden era, everyone is talking about the extent of Internet surveillance - however, Don Morrison of the Norwegian Institute of Science and Technology in Trondheim is taking a different 'path' to 'countermeasures', developing a method that allows censorship to be monitored in Dia, και ειδικότερα σε υπηρεσίες όπως το Twitter και το κινεζικό Weibo.


According to a New Scientist report, Morrison created a virtual one – εξομοίωση, στο οποίο χρήστες θεωρούνται «συνδεδεμένοι» εφόσον ένα από τα posts τους εμφανίζεται στο timeline του άλλου. Το «μοτίβο» των συνδέσεων μεταξύ των χρηστών παρέχει με αυτόν τον τρόπο τα «μεταδεδομένα» (metadata) που χρησιμοποιούνται για την of network behavior.

Most social networks consist of clusters of 'communities', the links between which create characteristic structures. When Morrison assimilated the activity of government censors, which at least halted 10% of publications, the "shape" of these structures changed significantly, indicating a "deformed" and less well-connected network. This was most apparent in cases where "popular" publications were replicated (via retweet, for example).

Morrison's system was able to "grasp" accurately 85% when large-scale censorship took place. It was also possible to program the system so that when it identified changes to the network's "shape", it would be possible to send an alert / activation alert for activists and protesters so they knew when the authorities were interfering in their publications.

Morrison envisions an automatic online censorship detector: "What is the" weather forecast "in terms of censorship on these networks today? I can imagine putting pressure on governments to curb censorship, "he notes.

His work will be presented at the International on Data Mining in Social Networks in Taiwan in May.


iGuRu.gr The Best Technology Site in Greecefgns

Written by giorgos

George still wonders what he's doing here ...

Leave a reply

Your email address is not published. Required fields are mentioned with *

Your message will not be published if:
1. Contains insulting, defamatory, racist, offensive or inappropriate comments.
2. Causes harm to minors.
3. It interferes with the privacy and individual and social rights of other users.
4. Advertises products or services or websites.
5. Contains personal information (address, phone, etc.).