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The incorporation of generative artificial intelligence in governance, political knowledge, electoral, and democratic processes is essential as the world transitions to a digital paradigm. Numerous nations have adopted Generative AI (GenAI), a disruptive technology that compels electoral bodies to advocate for the integration of such tools into governance, electoral, and democratic processes. Nevertheless, these technologies do not ensure effortless integration or efficient usage owing to intricate socio-cultural and human dynamics. Certain African jurisdictions are ill-prepared for the adoption of these technologies due to factors including underdevelopment, insufficient electrical supply, lack of technology literacy, reluctance to change, and the goals of governing parties. This study examines generative artificial intelligence as a disruptive technology for enhancing governance, political knowledge, electoral processes, and democracy. A mixed-method approach was employed, incorporating surveys and in-person interviews. The analysis of data, debates, and interpretation of findings were grounded in postdigital theory and theme analysis employing an abductive reasoning technique, in alignment with the tenets of critical realism. The study demonstrated that GENAI can influence political knowledge, election processes, and enhance efficiency in government and democracy. Moreover, GENAI, including ChatGPT, can either exacerbate or mitigate societal tendencies that contribute to human division, facilitate the dissemination of misinformation, perpetuate echo chambers, and undermine social and political trust, as well as polarise disparate groups or sets of viewpoints or beliefs. AI offers substantial opportunities but also poses many obstacles, including technical constraints, ethical dilemmas, and social ramifications. The swift progression of AI may disrupt labour markets by automating tasks conventionally executed by people, resulting in job displacement. Implementing AI necessitates significant upskilling and proficiency with digital tools; therefore, governments and organisations must adequately train their personnel to reconcile the disparity between AI's capabilities and users' comprehension. Additionally, there is a requisite for governmental oversight, regulation, and monitoring of AI adoption and utilisation across all facets of its implementation.

This paper examines the role of social media in enhancing public participation within the Mossel Bay Municipality, focusing on both opportunities and challenges. While social media platforms have become important channels for communication, participation, and accountability between citizens and local government, their integration into governance processes in South Africa remains underexplored. Existing literature primarily focuses on national-level initiatives or metropolitan municipalities, leaving a gap in understanding the dynamics of social media use in smaller municipal contexts. This research addresses this gap by investigating how social media platforms can strengthen citizen engagement, participation, and accountability in a local municipality. Employing a qualitative approach, the study involved semi-structured interviews with 20 participants, including municipal officials, councillors, and ward committee members. The findings reveal that social media offers significant opportunities to engage diverse audiences, particularly youth, working adults, and urban populations often excluded from traditional participation channels. However, challenges such as digital inequality, limited interaction, and insufficient strategic planning constrain its effectiveness. The study underscores the need for Mossel Bay Municipality to move beyond one-way communication and develop a comprehensive social media strategy with clear goals, interactive mechanisms, and inclusive engagement practices. By focusing on a local municipal context, this research advances e-governance scholarship in South Africa, highlighting practical strategies for leveraging social media to enhance participatory governance and promote social inclusion.

This paper examines the role of social media in enhancing public participation within the Mossel Bay Municipality, focusing on both opportunities and challenges. While social media platforms have become important channels for communication, participation, and accountability between citizens and local government, their integration into governance processes in South Africa remains underexplored. Existing literature primarily focuses on national-level initiatives or metropolitan municipalities, leaving a gap in understanding the dynamics of social media use in smaller municipal contexts. This research addresses this gap by investigating how social media platforms can strengthen citizen engagement, participation, and accountability in a local municipality. Employing a qualitative approach, the study involved semi-structured interviews with 20 participants, including municipal officials, councillors, and ward committee members. The findings reveal that social media offers significant opportunities to engage diverse audiences, particularly youth, working adults, and urban populations often excluded from traditional participation channels. However, challenges such as digital inequality, limited interaction, and insufficient strategic planning constrain its effectiveness. The study underscores the need for Mossel Bay Municipality to move beyond one-way communication and develop a comprehensive social media strategy with clear goals, interactive mechanisms, and inclusive engagement practices. By focusing on a local municipal context, this research advances e-governance scholarship in South Africa, highlighting practical strategies for leveraging social media to enhance participatory governance and promote social inclusion.

The incorporation of generative artificial intelligence in governance, political knowledge, electoral, and democratic processes is essential as the world transitions to a digital paradigm. Numerous nations have adopted Generative AI (GenAI), a disruptive technology that compels electoral bodies to advocate for the integration of such tools into governance, electoral, and democratic processes. Nevertheless, these technologies do not ensure effortless integration or efficient usage owing to intricate socio-cultural and human dynamics. Certain African jurisdictions are ill-prepared for the adoption of these technologies due to factors including underdevelopment, insufficient electrical supply, lack of technology literacy, reluctance to change, and the goals of governing parties. This study examines generative artificial intelligence as a disruptive technology for enhancing governance, political knowledge, electoral processes, and democracy. A mixed-method approach was employed, incorporating surveys and in-person interviews. The analysis of data, debates, and interpretation of findings were grounded in postdigital theory and theme analysis employing an abductive reasoning technique, in alignment with the tenets of critical realism. The study demonstrated that GENAI can influence political knowledge, election processes, and enhance efficiency in government and democracy. Moreover, GENAI, including ChatGPT, can either exacerbate or mitigate societal tendencies that contribute to human division, facilitate the dissemination of misinformation, perpetuate echo chambers, and undermine social and political trust, as well as polarise disparate groups or sets of viewpoints or beliefs. AI offers substantial opportunities but also poses many obstacles, including technical constraints, ethical dilemmas, and social ramifications. The swift progression of AI may disrupt labour markets by automating tasks conventionally executed by people, resulting in job displacement. Implementing AI necessitates significant upskilling and proficiency with digital tools; therefore, governments and organisations must adequately train their personnel to reconcile the disparity between AI's capabilities and users' comprehension. Additionally, there is a requisite for governmental oversight, regulation, and monitoring of AI adoption and utilisation across all facets of its implementation.