Driving Change, 140 Characters @ a Time: A Corpus-Assisted Discourse Analysis of the Twitter Debates on the Saudi Ban on Women Driving

doi 10.22215/etd/2017-12230
Full Text
Abstract

Available in full text

Date

Unknown

Authors
Publisher

Carleton University

Related search

A Semi-Supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Actively Driving the Digital Change

Laser Technik Journal
2017English

The Effects of Age and Distraction on Reaction Time in a Driving Simulator

2001English

Effectiveness of Variable Message Signs on Driving Behavior Based on a Driving Simulation Experiment

Discrete Dynamics in Nature and Society
ModelingSimulation
2014English

On the Contextual Conditions Driving a Difficulty Factor

International Journal of Statistics and Probability
2019English

Twitter: The Framing Process on Twitter by the Analysis of Vision 2030 in Saudi Arabia

مجلة البحوث الإعلامیة
2019English

A Corpus-Driven Discourse Analysis of Metaphor in Climate Change: A Preliminary Study

2019English

A Corpus-Based Critical Discourse Analysis on Cyber Stigmatization -----A Case of Microblogging Discourse on BMW Car Crash

Advances in Social Sciences Research Journal
2018English

Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy