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Credulous

The repository stores a dataset of human-operated Twitter accounts, with the characteristics of having many bots amongst their friends.

Two terms of usage apply:

  • The appropriate papers are cited in any research product whose findings are based on this dataset;
  • The usage of this dataset is for research purposes only.

Papers to be cited:

  1. Alessandro Balestrucci, Rocco De Nicola, Omar Inverso, Catia Trubiani: Identification of credulous users on Twitter. SAC 2019: 2096-2103

bibtex entry:  
@inproceedings{DBLP:conf/sac/BalestrucciNIT19,  
   author    = {Alessandro Balestrucci and
                Rocco {De Nicola} and
                Omar Inverso and
                Catia Trubiani},  
   title     = {Identification of credulous users on {Twitter}},  
   booktitle = {Proceedings of the 34th {ACM/SIGAPP} Symposium on Applied
Computing,
                {SAC} 2019, Limassol, Cyprus, April 8-12, 2019},  
   pages     = {2096--2103},  
   year      = {2019},  
   url       = {https://doi.org/10.1145/3297280.3297486},  
   doi       = {10.1145/3297280.3297486}  
}  
  1. Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani:
    Do you really follow them? Automatic Detection of Credulous Twitter Users. In 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), LNCS Springer, 2019 (in press)

bibtex entry:  
@inproceedings{balestrucci2019you,
  title={Do you really follow them? Automatic detection of credulous Twitter users},
  author={Balestrucci, Alessandro and De Nicola, Rocco and Petrocchi, Marinella and Trubiani, Catia},
  booktitle={International Conference on Intelligent Data Engineering and Automated Learning},
  pages={402--410},
  year={2019},
  organization={Springer}
}
  1. Alessandro Balestrucci, “How many bots are you following?”, in Proceedings of the 4th Italian Conference on Cyber Security, ITASEC2020 - in press. Available: https://arxiv.org/abs/2001.05222

bibtex entry:
@inproceedings{aless2020bots,
  title={How many bots are you following?},
    author={Alessandro Balestrucci},
    year={2020},
    eprint={2001.05222},
    archivePrefix={arXiv},
    primaryClass={cs.SI}
  booktitle={in Proceedings of the 4th Italian Conference on Cyber Security, ITASEC2020 - in press},
  year={2020}
}

This git project is structured in the following way:

  • Credulous (folder)
  • Credulous_2.0 (folder): 316 credulous users
  • Credulous_Regrgession_tasks (folder): human-operated Twitter accounts with associated number of followees and, among them, the number of bot-followees
  • Humans2Considered.txt (The Twitter ID of certified HUMAN users)

The structure is this:
Credulous (GitProj)
├── Credulous
│   ├── Humans2Considered.txt
│   ├── All Rules
│   │   └── R1234
│   │   ├── R1234_cut100_19.txt
│   │   ├── R1234_cut150_37.txt
│   │   └── R1234_cut200_63.txt
│   ├── Impact of Normalization
│   │   ├── R13
│   │   │   ├── R13_cut100_71.txt
│   │   │   ├── R13_cut150_114.txt
│   │   │   └── R13_cut200_152.txt
│   │   └── R24
│   │   ├── R24_cut100_82.txt
│   │   ├── R24_cut150_125.txt
│   │   └── R24_cut200_174.txt
│   ├── Impact of Seniority
│   │   ├── R12
│   │   │   ├── R12_cut100_36.txt
│   │   │   ├── R12_cut150_66.txt
│   │   │   └── R12_cut200_101.txt
│   │   └── R34
│   │   ├── R34_cut100_23.txt
│   │   ├── R34_cut150_42.txt
│   │   └── R34_cut200_67.txt
│   └── RulesInIsolation
│   ├── R1
│   │   ├── R1_100.txt
│   │   ├── R1_150.txt
│   │   └── R1_200.txt
│   ├── R2
│   │   ├── R2_100.txt
│   │   ├── R2_150.txt
│   │   └── R2_200.txt
│   ├── R3
│   │   ├── R3_100.txt
│   │   ├── R3_150.txt
│   │   └── R3_200.txt
│   └── R4
│   ├── R4_100.txt
│   ├── R4_150.txt
│   └── R4_200.txt
└── Credulous_2.0
│   └── Credulous_v2.0.csv
└── Credulous_Regression_tasks
      └── data.csv

For further information, please send an e-mail to: [email protected]

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