The rise of Jihadist propaganda on social networks

Badawy, Adam; Ferrara, Emilio

doi:10.1007/s42001-018-0015-z

Cited by 41 publications

(19 citation statements)

References 21 publications

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“…Kosinski et al. 2013 ) also enables highly targeted non-transparent political advertising (Woolley and Guilbeault 2018 ; Singer and Brooking 2019 ) and the ability to expose people to propaganda and recruit them to extremist organisations (Badawy and Ferrara 2018 ; Benkler et al. 2018 ; The Soufan Center 2021 ); the anonymity that supports the voiceless in society to express themselves also enables trolls to attack others without repercussions (Hine et al.…”

Section: Introductionmentioning

confidence: 99%

Amplifying influence through coordinated behaviour in social networks

Weber

Neumann

2021

Soc. Netw. Anal. Min.

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Section: Introductionmentioning

confidence: 99%

Amplifying influence through coordinated behaviour in social networks

Weber

Neumann

2021

Soc. Netw. Anal. Min.

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“…The study found that social bots play a vital role in spreading fake news and accounts that continuously spread misinformation are significantly more likely to be Bots [18] showed that In USA presidential election 2016, political propaganda has a significant role in the winning of Donald Trump. Badawy et al [19] analysed jihadist propaganda they showed that radical propaganda can be shared by posting four types of messages, religious and sacred topics, violence, sectarian discussion, and dominant celebrities and events.…”

Section: Related Workmentioning

confidence: 99%

Identifying propaganda from online social networks during COVID-19 using machine learning techniques

Khanday

Khan

Rabani

2020

Int. j. inf. tecnol.

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COVID-19, affected the entire world because of its non-availability of vaccine. Due to social distancing online social networks are massively used in pandemic times. Information is being shared enormously without knowing the authenticity of the source. Propaganda is one of the type of information that is shared deliberately for gaining political and religious influence. It is the systematic and deliberate way of shaping opinion and influencing thoughts of a person for achieving the desired intention of a propagandist. Various propagandistic messages are being shared during COVID-19 about the deadly virus. We extracted data from twitter using its application program interface (API), Annotation is being performed manually. Hybrid feature engineering is performed for choosing the most relevant features.The binary classification of tweets is being performed with the help of machine learning algorithms. Decision tree gives better results among all other algorithms. For better results feature engineering may be improved and deep learning can be used for classification task.

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“…Siegel and Tucker (2017), via a dataset of over 70 million tweets including tweets containing pro or anti-ISIS keywords between February 2015 and April 2016 (therefore, after the period covered in the present analysis), investigates how successful is the Islamic State's online strategy and to what extent does the organization achieve its goals of attracting a global audience, broadcasting its military successes, and marketing the Caliphate. Similarly, Badawy and Ferrara (2018) explore how ISIS makes use of social media to spread its propaganda and recruit militants from the Arab world and across the globe using a dataset of over 1.9 million messages posted on Twitter by about 25,000 ISIS sympathizers (on this point see also Ferrara 2017;Ferrara et al 2016). Klausen (2015) analyzed approximately around 30,000 Twitter accounts linked with ISIS and discovered that propaganda flew from accounts belonging to terrorist organizations in the insurgency zone, to ISIS sympathizers in Western countries.…”

Section: Social Media and Terrorism: Literature And Research Questionsmentioning

confidence: 99%

ISIS at Its Apogee: The Arabic Discourse on Twitter and What We Can Learn From That About ISIS Support and Foreign Fighters

2019

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We analyze 26.2 million comments published in Arabic language on Twitter, from July 2014 to January 2015, when ISIS' strength reached its peak and the group was prominently expanding the territorial area under its control. By doing that, we are able to measure the share of support and aversion toward the Islamic State within the online Arab communities. We then investigate two specific topics. First, by exploiting the time-granularity of the tweets, we link the opinions with daily events to understand the main determinants of the changing trend in support toward ISIS. Second, by taking advantage of the geographical locations of tweets, we explore the relationship between online opinions across countries and the number of foreign fighters joining ISIS.

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The rise of Jihadist propaganda on social networks

Cited by 41 publications

References 21 publications

Amplifying influence through coordinated behaviour in social networks

Amplifying influence through coordinated behaviour in social networks

Identifying propaganda from online social networks during COVID-19 using machine learning techniques

ISIS at Its Apogee: The Arabic Discourse on Twitter and What We Can Learn From That About ISIS Support and Foreign Fighters

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