README.md

Dataset Card for AutoTweet

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: [info]
• Repository: [info]
• Paper: [info]
• Leaderboard: [info]
• Point of Contact: [info]

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@InProceedings{10.1007/978-3-319-28940-3_10,
author="Almerekhi, Hind
and Elsayed, Tamer",
editor="Zuccon, Guido
and Geva, Shlomo
and Joho, Hideo
and Scholer, Falk
and Sun, Aixin
and Zhang, Peng",
title="Detecting Automatically-Generated Arabic Tweets",
booktitle="Information Retrieval Technology",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="123--134",
abstract="Recently, Twitter, one of the most widely-known social media platforms, got infiltrated by several automation programs, commonly known as ``bots''. Bots can be easily abused to spread spam and hinder information extraction applications by posting lots of automatically-generated tweets that occupy a good portion of the continuous stream of tweets. This problem heavily affects users in the Arab region due to the recent developing political events as automated tweets can disturb communication and waste time needed in filtering such tweets.",
isbn="978-3-319-28940-3"
}

Contributions

Thanks to @github-username for adding this dataset.