The Role of AI in Shaping Public Opinion in the Middle East
Artificial Intelligence (AI) is increasingly influencing public opinion dynamics across the globe, particularly in the Middle East. Governments in the region are leveraging AI to enhance public engagement and policy-making. In Saudi Arabia, the government has implemented AI-driven sentiment analysis to assess public reactions to educational reforms. By analyzing over 200,000 tweets, authorities gained insights into public sentiments, enabling them to tailor policies more effectively. Similarly, the United Arab Emirates (UAE) has invested heavily in AI to monitor and influence public opinion. The government's proactive stance includes appointing a dedicated AI minister and launching initiatives like the 'golden visa' to attract global AI talent. These efforts aim to position the UAE as a leader in AI innovation and governance.
I. Introduction
Artificial Intelligence (AI) is increasingly influencing public opinion dynamics across the globe. In the Middle East, characterized by rapid technological advancements and complex socio-political landscapes, AI's role in analyzing and shaping public sentiment is particularly significant. This article explores how AI is utilized in the region to gauge public opinion and its implications for governance and public relations.
II. AI-Driven Sentiment Analysis in the Middle East
Sentiment analysis, a subset of Artificial Intelligence (AI), involves the use of Natural Language Processing (NLP) to determine the emotional tone behind a body of text. In the Middle East, where Arabic is the predominant language, sentiment analysis faces unique challenges due to the language's complexity and the diversity of dialects. However, advancements in AI have led to the development of specialized tools capable of understanding these nuances.
Challenges in Arabic Sentiment Analysis
- Dialectal Diversity: Arabic encompasses numerous dialects, such as Egyptian, Levantine, Gulf, and Maghrebi, each with distinct vocabulary and expressions. For instance, a phrase in Egyptian Arabic may differ significantly from its equivalent in Levantine Arabic.
- Morphological Richness: Arabic words often have complex root structures, prefixes, and suffixes, making tokenization and lemmatization challenging.
- Lack of Standardization: Many Arabic texts, especially on social media, are written in informal styles, lacking standardized spelling and grammar.
These challenges necessitate the development of advanced NLP models tailored to Arabic's linguistic features.
Advancements in Arabic Sentiment Analysis
- Lucidya: A Saudi-based company, Lucidya has developed AI-powered social listening platforms that analyze public sentiment across various Arabic dialects. Their tools are employed by governments and businesses to monitor public opinion and adjust strategies accordingly. Lucidya's AI engine has achieved unmatched accuracy in deciphering Arabic content, embracing diverse dialects and slangs.
- Repustate: Repustate offers an Arabic sentiment analysis tool that processes Arabic text without translation, providing accurate sentiment scores through their sophisticated natural language processing framework. Their system analyzes social media content from platforms including Facebook, Twitter, Instagram, TikTok, and YouTube, enabling real-time monitoring of brand reputation and customer sentiment.
- Crowd Analyzer: Crowd Analyzer is the Middle East’s premier data and insights company, offering comprehensive services tailored for the MENA region. Their platform provides sentiment analysis, crisis management, and comprehensive coverage of traditional and digital media, whether broadcast or print.
AI-driven sentiment analysis is transforming how public opinion is understood and managed in the Middle East. While challenges persist due to the linguistic complexities of Arabic, advancements in AI are providing solutions that enhance governance, public relations, and business strategies. However, ethical considerations must be carefully addressed to ensure the responsible use of these technologies.
III. Government Applications of AI in Public Opinion Analysis in the Middle East
Artificial Intelligence (AI) is increasingly becoming a cornerstone in governance, particularly in the Middle East, where rapid technological advancements are reshaping public administration. Governments in the region are harnessing AI to analyze public sentiment, enhance policy-making, and improve public services. This section delves into how Saudi Arabia and the United Arab Emirates (UAE) are leveraging AI for public opinion analysis and its implications for governance.
Saudi Arabia: Integrating AI into Educational Reform
Saudi Arabia has been at the forefront of integrating AI into its
public sector, particularly in education. The Ministry of Education
has employed AI-driven sentiment analysis to gauge public reactions
to educational reforms. By analyzing over 200,000 tweets using
AraBERT, an Arabic language model, authorities have gained insights
into public sentiments, enabling them to tailor policies more
effectively.
Furthermore, the Saudi Data and Artificial Intelligence Authority
(SDAIA) has developed AI Ethics Principles to guide the ethical
implementation of AI in education, ensuring fairness, privacy, and
security.
United Arab Emirates: Pioneering AI in Governance
The UAE has established itself as a leader in AI adoption within the
public sector. In 2017, Abu Dhabi appointed the world's first AI
minister, underscoring the nation's commitment to AI integration.
The UAE's AI Strategy aims to position the country as a global
leader in AI by enhancing government performance and creating new
markets with high economic value.
The Dubai Centre for Artificial Intelligence (DCAI) has identified
183 potential generative AI use cases across 33 government
departments. This initiative aims to optimize efficiency, eliminate
routine tasks, and free up public officials for more strategic
activities.
Additionally, the UAE has launched the AI Charter, which outlines 12
guiding principles prioritizing inclusivity, transparency,
innovation, and accountability in AI applications.
The Middle East's proactive approach to integrating AI into public opinion analysis demonstrates a commitment to modernizing governance and enhancing public engagement. While challenges exist, the strategic implementation of AI offers significant potential to improve policy-making and public services. As AI continues to evolve, its role in shaping public opinion and governance in the region is poised to expand, necessitating ongoing attention to ethical considerations and regulatory frameworks.
IV. Ethical Considerations and Challenges of AI in Public Opinion Analysis in the Middle East
Artificial Intelligence (AI) has emerged as a powerful tool for governments in the Middle East to analyze and influence public opinion. While AI offers significant benefits in terms of efficiency and data-driven insights, its application in this region raises profound ethical concerns. These concerns are particularly acute in contexts where political sensitivities are heightened, and the potential for misuse is significant. This section delves into the ethical challenges associated with AI in public opinion analysis in the Middle East, highlighting issues related to privacy, data security, manipulation, and authoritarian control.
Privacy Violations and Mass Surveillance
AI-powered surveillance systems in the Middle East often operate
without explicit user consent, leading to significant privacy
violations. In countries like Saudi Arabia and the UAE, facial
recognition technologies are deployed in public spaces to monitor
and analyze individuals' movements and behaviors. These systems can
track personal activities, such as attending protests or meeting
with journalists, without individuals' knowledge or consent.
The pervasive nature of these surveillance systems erodes the
anonymity of individuals, making them susceptible to state scrutiny.
In Iran, for instance, AI-assisted facial recognition has been used
to enforce strict morality codes, leading to the arrest of thousands
of individuals, particularly women, for non-compliance with dress
codes.
Algorithmic Bias and Discrimination
AI systems are not immune to biases present in their training data.
In the Middle East, these biases can lead to discriminatory
practices, particularly against marginalized communities. For
example, AI algorithms used in predictive policing may
disproportionately target certain ethnic or religious groups,
leading to unjust treatment and reinforcing existing societal
inequalities.
In the UAE, reports have indicated that AI surveillance systems can
analyze online content to detect irony and sarcasm, potentially
leading to the misinterpretation of individuals' expressions and the
unjust penalization of dissent.
Chilling Effect on Civil Liberties
The widespread deployment of AI surveillance technologies can have a
chilling effect on civil liberties. The constant monitoring of
individuals' activities discourages free speech, peaceful protests,
and political activism. Fear of reprisal may lead individuals to
self-censor, avoiding discussions or actions that could be deemed
politically sensitive.
In Egypt, for instance, the government has employed AI-driven tools
to monitor online activities, leading to the imprisonment of
journalists and activists for expressing dissenting opinions. These
actions undermine the fundamental rights to freedom of expression
and assembly.
Government Overreach and Authoritarianism
AI technologies can enable governments to exercise unprecedented
control over their populations. In the Middle East, authoritarian
regimes have utilized AI to suppress dissent and consolidate power.
The use of AI in mass surveillance allows for the monitoring of
citizens' behaviors on a scale previously unimaginable, often
without judicial oversight.
In Saudi Arabia, the government's use of AI surveillance extends to
monitoring individuals' movements and behaviors, including the
tracking of women through applications like Absher. This level of
surveillance facilitates the enforcement of strict societal norms
and the suppression of opposition.
Manipulation of Public Opinion
AI technologies are increasingly being used to manipulate public
opinion in the Middle East. Governments employ AI-driven bots and
automated accounts to flood social media platforms with pro-regime
content, creating an illusion of widespread support. These tactics
drown out dissenting voices and distort public perception.
In Saudi Arabia, for example, a study found that a network of
Twitter bots was used to spread pro-Saudi narratives following the
murder of journalist Jamal Khashoggi. This manipulation of online
discourse undermines the authenticity of public opinion and erodes
trust in digital platforms.
Lack of Accountability and Transparency
The deployment of AI in public opinion analysis often lacks
transparency and accountability. Governments may not disclose how AI
systems are used, what data is collected, or how decisions are made.
This opacity makes it difficult for citizens to understand the
extent of surveillance and to challenge potential abuses.
In Israel, the military has developed AI tools that analyze vast
amounts of intercepted communications to monitor Palestinian
populations. The lack of transparency regarding the use of these
tools raises serious ethical concerns about accountability and the
potential for misuse.
International Implications and Export of Surveillance Technologies
The ethical challenges associated with AI in public opinion analysis
extend beyond national borders. Countries in the Middle East are not
only deploying AI surveillance technologies domestically but are
also exporting them to other nations. This export raises concerns
about the global spread of authoritarian practices and the potential
for human rights abuses.
China, for instance, has been involved in providing AI surveillance
technologies to Middle Eastern countries, including Saudi Arabia and
the UAE. These technologies enable extensive monitoring of
populations and the suppression of dissent, raising ethical
questions about the role of international cooperation in
facilitating authoritarian practices.
The application of AI in public opinion analysis in the Middle East presents significant ethical challenges. Issues related to privacy violations, algorithmic bias, suppression of civil liberties, and authoritarian control underscore the need for robust ethical frameworks and regulatory oversight. As AI technologies continue to evolve, it is imperative that governments in the region prioritize the protection of human rights and the establishment of transparent, accountable systems to govern the use of AI in public opinion analysis. Addressing these ethical concerns is crucial to ensuring that AI serves as a tool for empowerment rather than oppression in the Middle East.
V. Conclusion
The integration of AI into public opinion analysis in the Middle East presents both opportunities and challenges. While AI offers governments the ability to gauge public sentiment and make data-driven decisions, ethical considerations such as privacy, data security, and the potential for manipulation must be carefully addressed. As AI continues to evolve, it is imperative for Middle Eastern nations to establish robust ethical frameworks and regulatory oversight to ensure that AI serves as a tool for empowerment rather than oppression. By balancing innovation with ethical considerations, the Middle East can harness the full potential of AI to enhance governance and public engagement.
References
- Calissano, A., & Vantini, S. (2024). AI approach on identifying change in public sentiment for major events: Dubai Expo 2020. Computers, 13(11), 280. https://doi.org/10.3390/computers13110280
- Lucidya. (n.d.). Retrieved from https://en.wikipedia.org/wiki/Lucidya
- PwC. (2025). The potential impact of AI in the Middle East. Retrieved from https://www.pwc.com/m1/en/publications/potential-impact-artificial-intelligence-middle-east.html
- Reuters. (2024). Trump is eyeing the UAE as a hub for AI expansion. Here's why. Business Insider. https://www.businessinsider.com/abu-dhabi-uae-ai-powerhouse-mgx-openai-investment-2024-10
- Time. (2024). OpenAI Says Russia, China, and Israel Are Using Its Tools for Foreign Influence Campaigns. Time. https://time.com/6983903/openai-foreign-influence-campaigns-artificial-intelligence/
- Zahran, M., & Al-Masri, H. (2024). Leveraging Social Media and Deep Learning for Sentiment Analysis for Public Policy Feedback. MDPI. https://www.mdpi.com/2073-431X/13/11/280
- Repustate. (n.d.). Arabic sentiment analysis for data mining text, audio & video. Retrieved from https://www.repustate.com/arabic-sentiment-analysis/
- Crowd Analyzer. (n.d.). Home - Crowd Analyzer. Retrieved from https://crowdanalyzer.com/
- Zitouni, A., & Rahab, H. (2021). Main challenges and recent solutions to Arabic sentiment analysis. Sentiment Analysis of Arabic Documents. Springer.
- Abdelali, A., Mubarak, H., Samih, Y., Hassan, S., & Darwish, K. (2020). Arabic Dialect Identification in the Wild. Retrieved from https://arxiv.org/abs/2005.06557
- Boujou, E., Chataoui, H., El Mekki, A., Benjelloun, S., Chairi, I., & Berrada, I. (2021). An open access NLP dataset for Arabic dialects: Data collection, labeling, and model construction. Retrieved from https://arxiv.org/abs/2102.11000
- Alomari, K. M., ElSherif, H. M., & Shaalan, K. (2017). Arabic tweets sentimental analysis using machine learning. In International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems. Springer.
- Alwakid, G., Osman, T., & Hughes-Roberts, T. (2017). Challenges in sentiment analysis for Arabic social networks. Procedia Computer Science, 117, 89–100.
- Alotaibi, A., & Nadeem, F. (2024). Leveraging Social Media and Deep Learning for Sentiment Analysis for Smart Governance: A Case Study of Public Reactions to Educational Reforms in Saudi Arabia. Computers, 13(11), 280. https://doi.org/10.3390/computers13110280
- Saudi Data and Artificial Intelligence Authority (SDAIA). (2024). AI Ethics Principles. Retrieved from https://www.sdaia.gov.sa
- UAE Government. (2024). UAE Strategy for Artificial Intelligence. Retrieved from https://u.ae/en/about-the-uae/strategies-initiatives-and-awards/strategies-plans-and-visions/government-services-and-digital-transformation/uae-strategy-for-artificial-intelligence
- Dubai Centre for Artificial Intelligence (DCAI). (2024). AI Use Cases in Government. Retrieved from https://www.dubaifuture.ae/reports/15-ai-use-cases-in-government/
- UAE Government. (2024). AI Charter. Retrieved from https://www.ai.gov.ae/ai-charter
- National Cybersecurity Authority (Saudi Arabia). (n.d.). Retrieved from https://en.wikipedia.org/wiki/National_Cybersecurity_Authority_(Saudi_Arabia)
- Saudi Arabia is protecting users’ privacy and data from harmful AI. (2025, April 10). Arab News. Retrieved from https://arab.news/28x6q
- AI Surveillance in the UAE Raises Grave Concerns Over Privacy and Freedom of Expression. (2025, April 24). Watan. Retrieved from https://www.watanserb.com/en/2025/04/24/ai-surveillance-in-the-uae-raises-grave-concerns-over-privacy-and-freedom-of-expression/
- Ethical Implications of AI in MENA Business. (2025, February 11). SpringerLink. Retrieved from https://link.springer.com/article/10.1007/s42500-025-00056-6
- AI regulation and policy landscape in the Middle East. (2024, March 15). University of York. Retrieved from https://www.york.ac.uk/assuring-autonomy/news/blog/ai-regulation-middle-east/