AT about slide No. 8 in his lecture, after laying out how words create narratives and bots distort discourse, how algorithms funnel users toward extremes, and how online networks quietly reshape collective behavior, Josh Uyheng paused and asked the question hanging in the room: “Given all this — are we doomed?”
It was not a rhetorical flourish. It was a genuine analytical checkpoint.
Delivered as part of the Ateneo “Breakthroughs” Lecture Series, a flagship initiative exploring “Ideas that change the world,” Uyheng’s talk — ”Narratives, Networks and Democracy Today” —approached disinformation not as moral failure or partisan excess, but as a measurable social force. Hosted by journalist Pia Hontiveros, the lecture grounded anxiety-inducing phenomena in data, psychology, and network science.
What emerged was not reassurance, but clarity.
Control without a controller
Uyheng, known better as “Doc Josh,” is a young computational social scientist at Ateneo de Manila, whose research examines the impact of digital platforms on democracy. His work combines network science, psychology, and data analysis to study how narratives and coordinated behavior shape people, who shape communities, who in turn, shape nations.
His first unsettling insight was that modern political control no longer requires a single mastermind. Instead, it emerges from the interaction between human psychology and platform design. He presented quadrants to prove it.
People naturally gravitate toward others who share their views, a tendency known as homophily. Social media platforms, built to maximize engagement, intensify this instinct by recommending content and communities that look increasingly similar to what users already consume. Over time, this produces funnels that narrow perspective and intensify belief.
“These pressures toward sameness,” Uyheng explained, “end up funneling us toward more extreme narratives and extreme networks.”
In the Philippine context, this does not always manifest as ideological extremism. More often, it appears as hyper-personalized loyalty systems where politics becomes about identity, belonging, and allegiance rather than policy. The algorithm does not care what people believe — only that they remain engaged.
Control, in this sense, is structural rather than conspiratorial.
Bots, volume, and the illusion of power
If algorithms shape attention, bots and coordinated networks shape perception.
Uyheng’s doctoral research examined bot and troll activity across digital platforms, and his conclusion challenges common assumptions: influence does not require sophistication. It requires repetition.
“Sheer volume and repetition,” he noted, “can do a lot to make a movement seem much larger than it is.”
In local digital spaces, coordinated posting, recycled videos, synchronized hashtags, and mass account creation have repeatedly been used to manufacture the appearance of popular support. These tactics are not designed to persuade everyone. Their primary function is to create an atmosphere where dissent feels futile and conformity feels safe.
This is political control through perception management. When people believe a position is widely held, they are more likely to accept it — or at least remain silent.
When trust collapses, control becomes easier
One of the most effective tools of political control is not persuasion, but the erosion of trust.
Uyheng traced how traditional media in the Philippines came to be framed as aligned with elite interests rather than ordinary citizens. Once this narrative took hold, even accurate reporting could be dismissed as biased or irrelevant.
The result is what can be described as information bankruptcy: a condition where facts still exist but no longer carry authority.
Uyheng was careful not to overstate his findings, noting that his research does not yet provide definitive answers on how to rebuild trust. Still, he emphasized that fact-checking alone is insufficient. Trust is not informational — it is relational. It depends on whether people believe institutions genuinely serve them, not merely whether those institutions are correct.
Without trust, democratic societies become easier to manipulate, not because citizens are ignorant, but because they are disconnected.
Online chatter become offline reality
The lecture also explored moments when online narratives attempt to translate into physical action. Social media increasingly functions as a command-and-control layer, coordinating attention, signaling urgency, and testing the strength of offline networks in real time.
Yet, Uyheng stressed that online coordination does not automatically produce real-world power.
“Online coordination needs to interact with offline coordination in order to produce big effects,” he said.
Successful mobilization requires logistics, leadership, resources, and physical space. When those elements are missing, viral calls to action falter. Momentum collapses. Digital bravado encounters material limits.
Digital documentation adds another layer of complexity. The sense of being watched can embolden participants by lowering perceived risk, but it can also restrain action when promised leadership or organization fails to materialize.
Platforms, privilege, and democratic risk
Uyheng also addressed the role of social media platforms themselves. Prior to major political crises, platforms have been shown to bend or selectively enforce their own rules for high-profile accounts, prioritizing engagement over democratic stability.
Still, he resisted the idea that algorithmic fixes alone can solve the problem. Political manipulation begins offline, shaped by actors, money, and intent, before exploiting platform affordances.
Transparency, however, emerged as one of the most realistic safeguards. Knowing who pays for political ads, which organizations deploy coordinated campaigns at scale, and when suspicious spikes in activity occur during elections or crises raises the cost of manipulation.
Transparency does not eliminate political control. It disrupts its invisibility.
So, are we doomed?
Uyheng never offered a definitive answer to the question he posed. But the science he presented suggests that political control in the digital age is not absolute, but probabilistic. It tilts the field, shapes incentives, and nudges behavior — but it does not fully determine outcomes.
Democracy does not collapse in a single viral moment. It erodes gradually, through systems that reward outrage, sameness, and spectacle — unless citizens, institutions, and platforms consciously introduce friction, accountability, and reflection.
The real danger, Uyheng’s lecture postulated, is not that we are doomed.
It is that we stop asking the question.