TRUTH OR SNARE? UNDERSTAND AND COMBAT CYBER-PROPAGANDA AND FAKE NEWS

Transcription

1 SESSION ID: FLE-F04 TRUTH OR SNARE? UNDERSTAND AND COMBAT CYBER-PROPAGANDA AND FAKE NEWS Lion Gu Sr. Threat Researcher Trend

2 Acknowledgement Vladimir Kropotov Sr. Threat Researcher of TrendMicro FTR Fyodor Yarochkin Sr. Threat Researcher of TrendMicro FTR

3

4 Cognitive Biases

5 Was Good or Bad

6 Technologies Bring Too Much Info

7 BandWagon Effect As more people come to believe in something, others also "hop on the bandwagon" regardless of the underlying evidence.

8 Case: Plastic Seaweed

9 Plastic Seaweed? Extortion!

10 Learning From The Case Corporation can be targets of fake news Reputation loss Extortion People tend to accept visual stuff in social networks Picture or video makes information more reliable But picture or video is not fact

11 Services on the Market (White? Black? Grey?)

12 Twitter Followers

13 Arabic Twitter Followers

14 Facebook Group

15 Weibo Followers

16 WeChat Followers

17 Bots or Real People?

18 Click Farm

19 Vote Manipulation

20 Erase Bad Stories From The Web

21 Detect Twitter Bots

22 Detecting Bot Communities - Account s Profile Avatars Followers Following Account lifetime Registration date

23 Detecting Bot Communities Account s Behaviour Posting speed Active hours (how many of you work 24/7) Number of posts per day (no user posts 400 tweets a day at average) Simultaneous activity on promoting topics Timing evaluation (real staff starts slowly) Triggering points (how bots following botmaster) Spotting leading bots (masters) Isolated communities

24 Exploring Twitter-Space with Graphs Convert data to graph (GML) Identify isolated communities Validate retweet/quote only-accounts as bots

25 #MacronLeaks Case

26 #MacronLeaks Case

27 #MacronLeaks Case

28 #MacronLeaks Case

29 #MacronLeaks: Strategic Leak of Information 24 hours before election Domestic media is not allowed to comment Social media is uncontrolled and can be bot-manipulated

30 Donald Trump vs Covfefe

31 Trump Bot Followers

32 Bots: Using Generative Names

33 How Many Tweets Can You Post?

34 Compare Following vs Followers

35 Smart Bots: Cat And Mouse Game

36 Twitter Handles Over The Time

37 Political Amplification in Bangladesh

38 SN and Conflict of Interest Social Media Platform business model: - More users -> More Money (?) - More Information -> More Users -> More Money (?) - More Interractions -> More Information -> More Users -> More Money (?) Bot activities and services: - create more users - inject more information - create user interractions PROFIT?!

39 What Can Readers Do? Reading beyond the headline Cross-checking the story with other media outlets if it is also reported elsewhere Researching the author, or where and when the content is published Cross-referencing the content s images to see if they ve been altered Consulting reputable fact checkers 39

40 Conclusion Social media has strong effects on the real world Cyber propaganda and misinformation can influence campaigns and elections False or unfair information can damage business reputation Critical thinking is necessary to find truth

41 THANK YOU!