Dr Azman Bidin obtained the degree of Doctor of Philosophy in 2012 from Yeungnam University, South Korea in Media Effects (Entertainment-Education). He served over ten years with Telekom Malaysia (TM) from 1996, mainly under TM Net before continuing his master’s degree in communications management from Strathclyde University, Scotland.  After obtaining his Ph.D. in Korea, Azman Bidin joined the Faculty of Creative Multimedia at Multimedia University in Cyberjaya. There, he held the post of Program Coordinator for the Advertising Design Program in 2013 and short courses in 2014. He has a passion for approaches to use the media as positive tools for a human behavioural change agent and also in research of Entertainment-Education applications in the country and the region. He taught a few subjects in the advertising design program for his bachelor’s degree, such as Integrated Brand Promotion and Advertising Design. He also teaches and supervises a few master's and Ph.D. students. Azman Bidin is currently the head of the Department of Human Development in the Faculty of Language Studies and Human Development at, the University of Malaysia Kelantan. He is also the Program Coordinator for the Master of Business Communication program at UMK since September 2019. Dr Azman is reachable at azman.bidin@umk.edu.my.

My name is Dayang Nurshafekah binti Radjali, a student from Faculty of Agrobased Industry taking food security as my major course. I am currently a fourth year or final year student at Universiti Malaysia Kelantan (UMK Campus Jeli). I am from Semporna, Sabah. I look forward to being a part of this classroom and connecting with all of you. I am excited to be a part of this class. I am interested on reading a book so when I am outside of the classroom and not engaged in academic activities, I usually engage in reading a book. I taking STPM before enter university, (Pengajian am, pengajian perniagaan, sejarah and Geography). I finished my STPM at 2019. Food security taught me many things that I never been studied before especially about being an entrepreneurship, so it is a new experience for me.

Data privacy in the future might be more important since humanity is evolving, Many new aspects in science is being explored and cloning technology or genetic memory is something that we should look out for. Each human have different genetic makeup or data within themselves, They contain unique data that are solely unique for them and even ancestral data within them. So it is not entirely difficult to use said data to acquire information about the olden days. As an example of this phenomenon occuring, A game called Assassins creed shows us how genetic data can be used to research on our history and even how it could be easily turn into a catastrophe is fallen to the wrong hands. Thus, soon there should be legislations for genetic data privacy so we as a society are able to protect ourselves from being exploited.

Freedom of speech often misused by many user of social media. Some of the user like to separate hate speech or even disinformation that sometimes can be detrimental to some person or party. That is why there are principles of freedeom of speech in media governance. Regarding media governance, maintaining freedom of speech means finding a middle ground between defending people's freedom of expression and making sure that the media landscape is characterized by morally and responsibly expressed opinions. The principles are included legal protection, ethical standard and public interest. For example, we can share a content without separate hate on tiktok platform by express our opinions, talents and social media trends. These act can be used to separate awareness about social issues and promote education. As a Malaysian citizen we should be more careful and know our limits when using social media nowadays.

However, Reception Theory is not without its limitations. It can be difficult to definitively measure the specific decoding positions adopted by large audiences. Additionally, the theory focuses primarily on the individual audience member, neglecting the influence of social groups and power structures in shaping interpretations.

When i were small, i was expose more towards books reading whereby my mom used to bring me and my siblings to the library every friday after our school finishes. It has become a weekly routines for us to visit the library as it goes by. Every time i visited the library, i will always sit in a conner and read some intersting graphical story books. This starts exposing me to the recepyion theory every time i read, i start imagining the story in the book.

On the positive side of content classification, it empowers individuals or particularly parents to make informed choices about what media would they and their children consume. In media content, with age restrictions on violent content would shield the young minds of the children from inappropriate material, while flagging hate speech allows users to avoid negativity. This would fosters a healthier media environment to the consumers.

However, on the negative aspects also emerge. Classification systems can be subjective and leading to censorship or the stifling of diverse voices. What one culture deems offensive, another might consider artistic expression. Over broad categorization which can restrict many access to valuable information and creative works.

However, the very speed and reach of new media can be a double-edged sword. The ease of sharing information can lead to the spread of misinformation and "fake news. When there are unverified content on the sosial media , it can lead the content becoming viral and causing the users in eroding trust in credible sources.

To  mitigate these negative aspects, media literacy is important and should be taken serious.  Equipping citizens with the skills to critically evaluate information, identify bias, and discern real news from fabrication is essential. Additionally, social media platforms have a responsibility to combat misinformation. Fact-checking initiatives and promoting transparency in algorithms can help ensure a healthier information environment.

Moreover, false information about genetically modified organisms (GMOs) and other biotechnological innovations can lead to public fear and opposition. This can slow down the acceptance and utilization of beneficial technologies in agriculture, medicine, and other sectors. Misinformation can also influence public and private funding bodies, leading to reduced investment in biotechnological research due to negative perceptions of certain technologies.

In addition, misinformation can affect regulatory decisions, causing regulatory bodies to face pressure from misinformed public opinions. This can lead to stricter regulations or bans on certain biotechnologies, even when scientific evidence supports their safety and efficacy, hindering innovation and the development of new technologies.

Addressing these challenges requires a multifaceted approach. Enhancing public education about biotechnology, promoting scientific literacy, and encouraging critical thinking can help mitigate the impact of misinformation. Leveraging digital platforms to disseminate accurate information and counteract false narratives is crucial. Collaboration between scientists, policymakers, and media organizations is essential to ensure reliable information reaches the public and fosters trust in biotechnological advancements.

Data security is a main concern, as the vast amount of sensitive information being stored and transmitted increases the risk of cyberattacks. Data breaches can expose personal information, leading to identity theft or financial loss. Furthermore, companies might misuse the collected data for unauthorized purposes, such as targeted advertising.

A major challenge is the lack of transparency and control users have over their data. Many users are unaware of the extent of data collection and its usage, undermining trust. Informed consent is hard to obtain, especially when data is shared across multiple platforms. For instance, genetic data collected through biotech applications can be used for discrimination, and wearable health devices may share private health conditions without proper consent.

To address these issues, enhanced data protection regulations are crucial. Governments should enforce stringent data protection laws and develop specific regulations for biotechnology to protect genetic data. Strong cybersecurity measures, such as advanced encryption are essential. Ensuring transparency and user control through clear consent mechanisms and data portability options will help rebuild trust. Additionally, public awareness campaigns and user training can educate individuals about data privacy and protection.

In conclusion, while the 4IR offers numerous benefits, it also poses significant privacy challenges. By implementing comprehensive data protection strategies and educating the public, we can safeguard personal data and ensure technological advancements benefit society without compromising individual privacy.

          Artificial intelligence (AI) is a major force in the Fourth Industrial Revolution (4IR), changing industries and reshaping societies. Although AI offers improvements in data analysis, automation, and decision making, its ethical implications must be carefully considered. In this essay, the main ethical questions raised by AI are examined, with particular attention paid to algorithmic bias, invasions of privacy, and the effects on employment and social welfare. Additionally, this essay suggests the responsible of AI development and deployment strategies.

          A major ethical concern nowadays is algorithmic bias. Large datasets are used to train algorithms, which may unintentionally reinforce social prejudices. Black defendants were disproportionately flagged for higher risk in a risk assessment algorithm used by the US justice system, according to a 2018 ProPublica investigation that exposed racial bias in the system. This demonstrates how AI has the potential to exacerbate already-existing social injustices.

          AI also gives rise to worries about invasions of privacy. Massive amounts of personal data are collected and analysed by AI systems, which increases the risk of abuse. A 2019 study by the Cambridge Analytica scandal showed how individual liberty and democratic processes can be endangered by the harvesting and use of personal data for targeted manipulation.

          Another major ethical dilemma is how AI will affect social welfare and employment. According to a 2017 McKinsey report, automation powered by AI may result in the loss of up to 800 million jobs worldwide by 2030. The current workforce might not have the skills and training to adjust to new jobs, which could widen the income gap and undermine social safety nets.

          To ensure responsible AI development and deployment, several strategies are crucial. First and foremost, it's critical to promote explainability and transparency in AI algorithms. Recognising and reducing bias is made possible by knowing how algorithms make decisions. Second, in order to safeguard individuals and guarantee responsible data collection and usage, strict data privacy regulations are required. Lastly, reskilling and education investments can help the workforce adapt to the changing nature of work.

          In conclusion, the Fourth Industrial Revolution has enormous potential for AI. But there are ethical considerations that need to be carefully considered. Responsible AI development requires addressing algorithmic bias, safeguarding privacy, and minimising job displacement. We can use transparency, data protection laws, and workforce development techniques to harness AI's potential and ensure a morally sound and inclusive future.

= Priavcy and Security – DAYANG

In the age of new media, privacy and security concerns are essential to preserving the legitimacy of democratic processes. The quick development of digital platforms has changed the way people exchange and access information, but it has also brought about a number of serious problems. The practises of targeted advertising and comprehensive user profiling, which frequently occur without explicit authorization, give rise to worries regarding data privacy. The gathering of personal information gives rise to moral questions regarding its potential use in swaying political beliefs or actions. Moreover, cybersecurity hazards that undermine public trust and sway public opinion, such disinformation operations and data breaches, put democratic institutions at danger. Enforcing strict regulations to safeguard user data, improve platform transparency, and strengthen cybersecurity safeguards is necessary to address these concerns. Not only are individual rights at risk, but maintaining democratic governance ideals in an increasingly digital environment also depends on new media privacy and security policies.

The Fourth Industrial Revolution (4IR) is transforming industries with the integration of IoT, AI, big data analytics, and blockchain. However, it also presents cybersecurity and data protection challenges due to the interconnected nature of systems. Robust cybersecurity measures are essential to safeguard personal information and maintain public trust, while mitigating risks to individuals, businesses, and national security.

The Fourth Industrial Revolution (4IR) is a global transformation driven by disruptive technologies such as IoT, AI, big data analytics, and blockchain. These technologies are transforming industries like manufacturing, healthcare, and finance, enhancing automation, efficiency, and customer experiences. IoT connects objects to the internet, AI enables robots to learn from data, big data analytics aids decision-making, and blockchain ensures secure transactions. These technologies not only enhance productivity but also pave the way for innovative business models.

The increasing number of IoT devices poses significant security risks due to their interconnected nature and diverse applications. Common vulnerabilities include weak passwords, lack of encryption, and insecure communication channels. Attackers can exploit these weaknesses to gain unauthorized access, compromise user data, or launch large-scale attacks. The supply chain also introduces additional risks, with attackers tampering with hardware, firmware, or software components. Comprehensive strategies, including rigorous supply chain practices, regular updates, robust authentication, and data encryption, are essential.

The Fourth Industrial Revolution (4IR) has seen numerous cyberattacks, such as the Mirai botnet attack in 2016, WannaCry ransomware attack in 2017, and the SolarWinds supply chain attack in 2020. These incidents highlighted the vulnerabilities of interconnected technologies and the need for robust cybersecurity measures. Key lessons learned include maintaining up-to-date software, implementing robust authentication mechanisms, and enhancing supply chain security. A proactive approach to cybersecurity, including continuous threat monitoring, rapid incident response capabilities, and ongoing education, is crucial to strengthen organizations' resilience against evolving cyber threats in the increasingly interconnected landscape.

In a conclusion In order to safeguard people, companies, and vital infrastructure, the Fourth Industrial Revolution (4IR) calls for aggressive cybersecurity measures and strong data protection plans. Artificial intelligence (AI), big data, blockchain, and the Internet of Things all bring new dangers and vulnerabilities that call for strict access controls, robust encryption procedures, and frequent security assessments. It's also critical to support a cybersecurity culture, adhere to laws like GDPR, and adjust to changing threats. Digital technologies that are well-integrated with strong security measures provide integrity and confidence.