FACODE is a tool that analyzes tweets on Twitter and removes non-genuine tweets, providing a more accurate sentiment analysis for companies. It examines tweet content, user profiles, behavior over time, and compares tweets to identify patterns, spam, and inauthentic coordinated efforts. Case studies on brands like Bitcasa, iPhone and Apple products demonstrate how FACODE can significantly change sentiment polarity results and brand mention counts by filtering out fake or misleading tweets, providing companies with more reliable social media analytics.

2. FACODE is a tool to remove all the
non-genuine tweets on Twitter
What’s it?
What do we mean by a non-genuine Tweet?
It is a tweet wrote by a person or a computer:
• To post links to phishing or malware sites
• To advertise whatever irrelevant regarding the
subject
• To improve Web positioning on the Internet (SEO)
• To change opinion about something
• To create trending topics trying to grab attention
• To trick social media metering tools
• …
What do we mean by a genuine Tweet?
It is a tweet wrote by people:
• To share their thoughts
• To give their opinions
• To comment indeed
• To suggest indeed
• To complaint about
• To communicate indeed
• …

3. Output is closer to reality
FACODE provides only genuine tweets to analyse brands, entities, and companies on Twitter
What’s the goal?
FACODE improves the quality
of social media metering results
Original tweets FACODE analysis Reliable results

4. What others offer…
What FACODE does…
How it works?
• Tweet analysis:
⁞ Only tweet content (words used)
⁞ Anti-spam keywords criteria
• User analysis:
⁞ User antiquity
⁞ Number of followers
• Tweet analysis:
⁞ Up to 10 different analysis criteria based on tweet content
⁞ Anti-spam keywords criteria
⁞ Natural language analysis (syntactic and semantic)
⁞ Statistical analysis (hashtags, words, links, mentions,…)
• Tweets comparison analysis:
⁞ Detection of tweet patterns among users
⁞ Repeated tweets among users
• User analysis:
⁞ User twitter reputation
⁞ User antiquity
⁞ Followers vs followed people
⁞ Analysis of the user interaction
⁞ Followers (how many and who are)
⁞ Number of received retweets, replies, mentions,…
⁞ Repeated tweets, hashtags, links,…
⁞ Tweets encouraging to follow others
⁞ By means of which software the user tweets
• User behaviour analysis along time:
⁞ Study of user usage over time
⁞ Aggressive user behaviour
⁞ Comparison with bad user behavioural patterns
⁞ Analysis of how the user use retweets, replies, mentions,…

5. Bitcasa case
Companies wish to know the sentiment polarity of their brands, products,… There are
analysis tools that provide this information although they do not care whether the data
they analyse is genuine or not. With FACODE, they will be able to use real, correct data
and provide a solid unbiased sentiment analysis to their costumers
34.9% positive
6.3% negative
Sentiment Polarity Chart with FACODE
Sentiment Polarity Chart without FACODE
56.5% positive
3.9% negative
Some exciting results

6. iPhone case
Companies need to know the evolution of their social reputation. Analysing tweets
along the time, we are able to detect in which circumstances the popularity of the
brand, products, companies… artificially increases, why the non-genuine data comes up
and whether these fake tweets are generated to benefit or damage.
0
1000
2000
3000
Daily POSITIVE opinions
Daily NEGATIVE opinions
0
200
400
600
800
1000
Some exciting results

7. Apple products case
Companies wish to know whether their brands are mentioned in the social networks
and compare their awareness with other brands. As one can see in the following
plots, once FACODE has been executed, the difference with the original data could be of
relevance and change the correct stats.
18757
15742
26530
23049
46883
29979
0 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000
TOTAL
FACODE
TOTAL
FACODE
TOTAL
FACODE
IpadIpodIphone
Number of Mentions
Some exciting results