Mitigating hate speech in Nigeria: The possibilities of artificial intelligence

Joseph Wilson, Rahila Jibrin

Abstract

Hate speech has become a global concern. Nations worldwide in one way or another have to grapple with the enormous problem of this phenomenon, which is predominantly perpetrated through new media or online media platforms. In Nigeria, the situation is such that governments at the federal and state levels have continued to express concern over the growing wave of hate speech in the country. While technology propels this phenomenon, technology may just be the solution. Technology has no doubt continued to offer humanity several possibilities to better human existence. Increasingly, it is becoming an indispensable part of the daily life of individuals. The mobile phone, for instance, is used as a typewriter, a calculator, a calendar, a time piece, a communication system, an interactive database, a decision-support system and much more. In recent times, the insatiable drive for technology has reached a point where devices act intelligently. These intelligent systems are rapidly developing for use to enhance human endeavours. Artificial intelligence (AI) technologies, driven by big data, are fuelling unprecedented changes in many facets of human endeavours. Many achievements using AI techniques surpass human capabilities. If machines can recognise speech and transcribe it – just like typists did in the past – if computers can accurately identify faces or fingerprints from among millions, cars drive themselves and robots fight wars, among other remarkable things, there is no doubt there would be a way round the complex challenge of hate speech. Therefore, this study examines the inherent possibilities of AI for mitigating hate speech in Nigeria.

Keywords

Artificial Intelligence; hate speech; mitigation; Nigeria

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References

BRITISH INSTITUTE OF HUMAN RIGHTS. (2012). Mapping study on projects against hate speech online. Strasbourg: Council of Europe. Retrieved from https://rm.coe.int/16807023b4

BROWN, A. (2017). “What is hate speech?”. Law and Philosophy, 36, 419-468.

COLES, T. (2018). Hate speech presents significant challenge for Facebook AI. ITProToday. Retrieved from https://www.itprotoday.com/cloud-data-center/hate-speech-presents-significant-challenge-facebook-ai

EHIKIOYA, A. (2018). “Presidency laments hate speeches by media houses”. The Nation Newspaper, 2 February [Online]. Retrieved from http://thenationonlineng.net/presidency-laments-hate-speeches-media-houses/

FALANA, F. (2017). Nigeria has enough laws to curb hate speeches by Femi Faana. Sahara Reporters. Retrieved from http://saharareporters.com/2017/08/26/nigeria-has-enough-laws-curb-hate-speeches-femi-faana

GALEON, D. (2017). Researchers are trying to use AI to put an end to hate speech. Futurism. Retrieved from https://futurism.com/researchers-use-ai-end-hate-speech

GANASCIA, J.-G. (2018). “Artificial intelligence: Between myth and reality”. The UNESCO Courier, 3, 7-9.

GAGLIARDONE, I; GAL, D; ALVES, T and MARTINEZ, G. (2015). Countering Online Hate Speech. Paris: UNESCO. Retrieved from http://unesdoc.unesco.org/images/0023/002332/233231e.pdf:UNESCO

HOPKO, A (2018). “Can artificial intelligence recognize hate speech? Cal-Berkeley researchers think so”. Cronkite News, 9 August [Online]. Retrieved from https://cronkitenews.azpbs.org/2018/08/09/can-artificial-intelligence-recognize-hate-speech/

HOWSTUFFWORKS (n.d). What is a computer algorithm? [Date consulted: 30/08/2018] https://computer.howstuffworks.com/what-is-a-computer-algorithm.htm

“NEW AI SYSTEM CAN DETECT SARCASM ON TWITTER BETTER THAN HUMANS” (2017). The Economic Times, 8 August [Online]. Retrieved from https://economictimes.indiatimes.com/magazines/panache/new-ai-system-can-detect-sarcasm-on-twitter-better-than-humans/articleshow/59969985.cms

NIGERIA STABILITY AND RECONCILIATION PROGRAMME (NSRP) (2017). How-to guide. Mitigating dangerous speech. Monitoring and countering dangerous speech to reduce violence. Retrieved from http://www.nsrp-nigeria.org/wp-content/uploads/2017/12/NSRP-How-to-Guide-Mitigating-Hate-and-Dangerous-Speech.pdf

NOLAN, L. (2017). “Google launches AI program to detect ‘hate speech’”. Breitbart, 23 February [Online]. Retrieved from https://www.breitbart.com/tech/2017/02/23/google-launches-ai-program-to-detect-hate-speech

OLOJA, M. (2018) “Whose hate speech threatens national unity?”. The Guardian, 22 July [Online]. Retrieved from https://guardian.ng/opinion/whose-hate-speech-threatens-national-unity/

ONANUGA, B. (2018). “Roots of hate speech, Remedies”. Paper presented at the Workshop on Hate Communication in Nigeria: Identifying Its Roots and Remedies, 22 February. Abuja: Nigerian Press Council.

ONYIBE, M. (2017). “Mr President: There must be better ways to curb hate speeches. Vanguard, 16 September [Online]. Retrieved from https://www.vanguardngr.com/2017/09/mr-president-must-better-ways-curb-hate-speeches

OPUSUNJU. O. (2017). “Nigerian government begins monitoring social media to tame hate speech”. ITEdgeNews, 26 January [Online]. Retrieved from https://itedgenews.ng/2018/01/26/nigerian-government-begins-monitoring-social-media-tame-hate-speech

PALFREY, J. (2018). Safe spaces, brave spaces diversity and free expression in education. Cambridge: MIT Press.

RING, C. E. (2013). Hate speech in social media: An exploration of the problem and its proposed solutions, PhD thesis, University of Colorado at Boulder. Retrieved from https://scholar.colorado.edu/jour_gradetds/15

ROGERS, E. (1995). Diffusion of innovations. New York: Free Press. 5th edition.

SAS (n.d.) Artificial Intelligence: What it is and why it matters. [Date consulted: 30/08/2018]. Retrieved from https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html

STARR, S. (2004). “Understanding hate speech”. In: C. MÖLLER, A. AMOUROUX (eds.). The Media Freedom Internet Cookbook. Vienna: OSCE, 125-160.

TECHOPEDIA. (n.d). Artificial Intelligence (AI). [Date consulted: 30/08/2018]. Retrieved from https://www.techopedia.com/definition/190/artificial-intelligence-ai

TERDIMAN, D. (2018). Here’s how Facebook uses AI to detect many kinds of bad content. Fastcompany. Retrieved from https://www.fastcompany.com/40566786/heres-how-facebook-uses-ai-to-detect-many-kinds-of-bad-content

THOMAS, A. (2018). EJC joins forces with DataScouting to counter hate speech directed at journalists online. Medium. Retrieved from https://medium.com/we-are-the-european-journalism-centre/ejc-joins-forces-with-datascouting-to-counter-hate-speech-directed-at-journalists-online-60ed1c857a17

UTOMI, J.-M. (2018). “The controversial hate speech bill”. The Sun News, 8 March [Online]. Retrieved from http://sunnewsonline.com/the-controversial-hate-speech-bill

WALDRON, J. (2012). The harm in hate speech. Cambridge, MA and London: Harvard University Press.

WILSON, J. (2017). “Overcoming technophobia in communication education: The push-ICT approach”. Media and Communication / Mediji i komunikacije, 1 (7), 19-32.

WOLVERTON, T. (2018a). “Mark Zuckerberg says AI won’t be able to reliably detect hate speech for ‘five to 10’ years (FB)”, Pulse, 10 April [Online]. Retrieved from https://www.pulse.ng/bi/tech/tech-mark-zuckerberg-says-ai-wont-be-able-to-reliably-detect-hate-speech-for-five-to/fq74l83

WOLVERTON, T. (2018b). “AI is great at recognizing nipples, Mark Zuckerberg says (FB)”. Pulse, 25 April [Online]. Retrieved from https://www.pulse.ng/bi/tech/ai-is-great-at-recognizing-nipples-mark-zuckerberg-says-fb-id8304794.html

ZHANG, Z.; ROBINSON, D. and TEPPER J. (2018). “Detecting hate speech on Twitter using a convolution-GRU based deep neural network”. In: A. GANGEMI et al. (eds.). The Semantic Web. ESWC 2018 Satellite Events. 15th Extended Semantic Web Conference Heraklion, Crete, Greece, 3-7 June 2018. Cham: Springer, 745-760.

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