The relationship between journalism and technology need not be adversarial. Instead of fearing algorithmic systems and artificial intelligence, news organisations across the region should invest in understanding how these tools operate and harness them to strengthen their reach and credibility, according to Dr Ahmad Sauffiyan Abu Hasan, a social communication lecturer and media analyst at Universiti Pendidikan Sultan Idris (UPSI).
Speaking on Bernama TV, Dr Ahmad Sauffiyan reframed what many journalists perceive as a threat into an opportunity for media houses to improve their editorial mission. He argued that the real danger lies not in the technology itself but in news organisations' failure to adapt and master its mechanics. When credible journalism cannot penetrate audience consciousness, the void will inevitably be filled by unreliable sources, spreading misinformation and eroding public trust in institutions.
Understanding how algorithms function has become as essential to modern journalism as understanding how printing presses worked to newspapers a century ago. These computational systems determine which content appears in users' feeds based on engagement metrics, user behaviour patterns, and interaction history across digital platforms. For media organisations, this means that simply publishing stories on a website—the old broadcast approach—is no longer sufficient. The architecture of digital information distribution has fundamentally changed, yet many newsrooms have not updated their strategies accordingly.
Dr Ahmad Sauffiyan emphasised that news organisations must reconceptualise their content distribution strategies with algorithmic realities in mind. Rather than treating social media as secondary channels, editors should actively engineer their reporting to work within platform ecosystems. This requires integrating visual storytelling, short-form video content, infographics, and narrative techniques that contemporary algorithms prioritise and amplify. Such adaptation is not about dumbing down journalism but rather translating rigorous reporting into formats that modern audiences consume and algorithms reward.
The challenge extends beyond mere technical competency. Media organisations must develop hybrid teams combining traditional journalistic expertise with digital literacy specialists who understand platform mechanics, data analytics, and content optimisation. This partnership between editorial and technical staff can ensure that important stories receive the algorithmic visibility they deserve while maintaining the factual accuracy and balanced perspective that define credible journalism. Without such structural changes, even well-researched investigations may languish in obscurity while sensational misinformation gains algorithmic traction.
Artificial intelligence presents both opportunities and pitfalls in newsrooms. Dr Ahmad Sauffiyan acknowledged that AI tools can meaningfully improve operational efficiency, automating routine tasks like data processing, initial story categorisation, and audience segmentation. These applications free journalists to focus on investigative work, source development, and the interpretive tasks that require human judgement and ethical consideration. However, he cautioned emphatically against surrendering editorial decision-making to automated systems.
The temptation to rely heavily on AI for news judgment must be resisted. Algorithms lack the contextual understanding, ethical framework, and accountability that journalists possess. They cannot assess newsworthiness based on civic importance, cannot identify when a story affects vulnerable communities differently, and cannot make the moral calculations that underpin responsible journalism. Human journalists must retain final authority over what stories are pursued, how sources are treated, and what narrative frameworks are employed. AI should serve journalism's human purposes, not replace the human editors who bear professional responsibility for their work.
Maintaining ethical standards becomes more critical as media organisations integrate algorithmic and artificial intelligence systems. The drive to increase engagement and reach can create perverse incentives, tempting newsrooms to sensationalise stories or prioritise emotionally provocative content because algorithms amplify such material. Resisting this pressure requires deliberate commitment to core journalistic principles: verifiable facts, multiple perspectives, freedom from hidden bias, and clarity about sources and methods. Trust, once lost through algorithmic gaming or algorithmic amplification of unreliable reporting, is exceptionally difficult to rebuild.
For Southeast Asian media organisations specifically, algorithm literacy has profound implications. The region's digital penetration rate continues climbing, with millions of new internet users relying on social media for news. In markets where traditional media ownership may be concentrated or influenced by political interests, algorithmic systems offer alternative distribution pathways that can amplify independent voices and diverse viewpoints—but only if media organisations understand and actively engage with how these systems work. Conversely, without this understanding, algorithmic systems can reinforce existing power structures by advantaging large organisations with resources to optimise for algorithmic performance.
Dr Ahmad Sauffiyan's intervention comes at a moment when public confidence in news media faces pressure from multiple directions: political polarisation, the proliferation of alternative information sources, and the rise of synthetic media created through generative AI. Media organisations that passively resist these technological changes or that embrace them without maintaining editorial standards will likely lose relevance and credibility. Those that strategically master algorithmic distribution while strengthening their commitment to factual accuracy, balanced reporting, and ethical practice have the best chance of serving their democratic function.
The path forward requires humility from media organisations about what they do not yet know about digital distribution, combined with confidence in journalism's core mission and values. Technology should amplify good journalism, not corrupt it. As newsrooms across the region navigate this transition, investing in understanding algorithms and artificial intelligence—while maintaining human editorial judgment and ethical standards—offers the most promising approach to ensuring that credible, reliable news reaches audiences and pushes back against the tide of misinformation that threatens informed democratic participation.
