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MeVer team tackling Corona virus and 5G conspiracy
using ensemble classification based on BERT
Olga Papadopoulou Giorgos Kordopatis-Zilos Symeon Papadopoulos
FakeNews: Corona virus and 5G conspiracy
Motivation
• Imbalanced and relatively small dataset
• 5G-Conspiracy: 1,335
• Other-Conspiracy: 712
• No-Conspiracy: 4,198
• Sub-sample majority classes
• Ensemble learning of multiple classification networks
• Two-stage classification approach
Proposed Approach
CL2
CL1
CLN
5G and other
conspiracy
samples
No
conspiracy
Random
sampling
Step 1 Step 2
Majority
vote
Final
Predictions
CLf1
CLf2
No conspiracy detections
Conspiracy
detections
CLf1 = CLf2 = 1
1: 5G Conspiracy
2: Other conspiracy
3: Non-Conspiracy
1: 5G Conspiracy
2: Other conspiracy
Yes
No
5G
Other
All
samples
... Σ(C𝐿i) >
𝑁
2
Yes
No
1: Conspiracy
0: Non-conspiracy
• Sub-sample Non-conspiracy class
• Binary classification
• Majority voting
Results
Method MCC
Three-class BERT 0,42
Proposed approach 0,81
Our proposed approach achieved a score of 0.413 in terms of
MCC on the provided testing set of unseen tweets.
Thank you for your attention!
With the support of:
Get in touch:
Olga Papadopoulou: olgapapa@iti.gr / @olgpapa
MeVer team:
https://mever.iti.gr/web/ / @meverteam
/
Questions ?
/

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MeVer team tackling Corona virus and 5G conspiracy using ensemble classification based on BERT

  • 1. MeVer team tackling Corona virus and 5G conspiracy using ensemble classification based on BERT Olga Papadopoulou Giorgos Kordopatis-Zilos Symeon Papadopoulos FakeNews: Corona virus and 5G conspiracy
  • 2. Motivation • Imbalanced and relatively small dataset • 5G-Conspiracy: 1,335 • Other-Conspiracy: 712 • No-Conspiracy: 4,198 • Sub-sample majority classes • Ensemble learning of multiple classification networks • Two-stage classification approach
  • 3. Proposed Approach CL2 CL1 CLN 5G and other conspiracy samples No conspiracy Random sampling Step 1 Step 2 Majority vote Final Predictions CLf1 CLf2 No conspiracy detections Conspiracy detections CLf1 = CLf2 = 1 1: 5G Conspiracy 2: Other conspiracy 3: Non-Conspiracy 1: 5G Conspiracy 2: Other conspiracy Yes No 5G Other All samples ... Σ(C𝐿i) > 𝑁 2 Yes No 1: Conspiracy 0: Non-conspiracy • Sub-sample Non-conspiracy class • Binary classification • Majority voting
  • 4. Results Method MCC Three-class BERT 0,42 Proposed approach 0,81 Our proposed approach achieved a score of 0.413 in terms of MCC on the provided testing set of unseen tweets.
  • 5. Thank you for your attention! With the support of: Get in touch: Olga Papadopoulou: olgapapa@iti.gr / @olgpapa MeVer team: https://mever.iti.gr/web/ / @meverteam / Questions ? /

Editor's Notes

  1. Thank you very much for your attention. If you have any questions or comments, please don't hesitate to contact me or our team via email or through Twitter. Also, you may find code in GitHub for the evaluation and reproduction of the experimental results. Thank you.