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Sifting Robotic from Organic Text: A Natural Language Approach for
  Detecting Automation on Twitter
v1v2v3v4v5v6 (latest)

Sifting Robotic from Organic Text: A Natural Language Approach for Detecting Automation on Twitter

17 May 2015
E. Clark
Jake Williams
Chris A. Jones
R. Galbraith
C. Danforth
P. Dodds
    DeLMO
ArXiv (abs)PDFHTML

Papers citing "Sifting Robotic from Organic Text: A Natural Language Approach for Detecting Automation on Twitter"

8 / 8 papers shown
Posting Bot Detection on Blockchain-based Social Media Platform using
  Machine Learning Techniques
Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning TechniquesInternational Conference on Web and Social Media (ICWSM), 2020
Taehyun Kim
H. Shin
H. Hwang
S. Jeong
137
19
0
28 Aug 2020
A general solution to the preferential selection model
A general solution to the preferential selection model
Jake Williams
Diana Solano-Oropeza
Jacob R. Hunsberger
71
0
0
06 Aug 2020
FacTweet: Profiling Fake News Twitter Accounts
FacTweet: Profiling Fake News Twitter AccountsInternational Conference on Statistical Language and Speech Processing (ICSLSP), 2019
Bilal Ghanem
Simone Paolo Ponzetto
Paolo Rosso
GNN
155
22
0
15 Oct 2019
TexTrolls: Identifying Russian Trolls on Twitter from a Textual
  Perspective
TexTrolls: Identifying Russian Trolls on Twitter from a Textual Perspective
Bilal Ghanem
Davide Buscaldi
Paolo Rosso
198
24
0
03 Oct 2019
The Art of Social Bots: A Review and a Refined Taxonomy
The Art of Social Bots: A Review and a Refined Taxonomy
Majd Latah
230
3
0
08 May 2019
Openbots
Openbots
Dennis Assenmacher
Lena Adam
Lena Frischlich
Heike Trautmann
C. Grimme
127
3
0
14 Feb 2019
Deep Neural Networks for Bot Detection
Deep Neural Networks for Bot Detection
Sneha Kudugunta
Emilio Ferrara
238
493
0
12 Feb 2018
Measuring bot and human behavioral dynamics
Measuring bot and human behavioral dynamics
Iacopo Pozzana
Emilio Ferrara
302
59
0
12 Feb 2018
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