Journalism has always adapted to new technologies. But today it faces a different kind of challenge: one of the world\u2019s most influential platforms has become remarkably difficult to investigate.<\/p>\n
Armenia\u2019s recent elections offer a telling example. TikTok emerged as a key arena for political communication, yet it also exposed the platform\u2019s fundamental opacity. <\/p>\n
AI-generated videos featuring fabricated political statements and entirely fictional news stories spread widely, attracting hundreds of thousands of views. <\/p>\n
For journalists, however, tracing where this content originated, how it spread and who amplified it proved far more difficult than identifying the misinformation itself.<\/p>\n
At first glance, this looks like a familiar disinformation problem. <\/p>\n
In reality, it is something more profound. The challenge lies not only in false content, but in TikTok\u2019s architecture. The platform readily shows journalists the outcome \u2014 a viral video \u2014 while concealing the process that made it viral in the first place.<\/p>\n
A river instead of an archive<\/p><\/blockquote>\n
Earlier generations of social media were far from perfect, but they shared one important characteristic: they were searchable.<\/p>\n
Facebook and Twitter (now X) allowed journalists to reconstruct events. Posts could be traced chronologically, conversations followed over time, hashtags monitored and public debates pieced together retrospectively. They functioned, in many respects, as searchable archives.<\/p>\n
TikTok operates<\/a> according to a different logic.<\/p>\n
Rather than organising content as a public record, it is designed to maximise consumption. The platform is not interested in telling users what happened yesterday; it is designed to predict what they are most likely to watch next.<\/p>\n
This creates what might be called an illusion of visibility. Journalists can observe public reactions, but often cannot reconstruct the pathways that produced them. <\/p>\n
Unlike Facebook or Twitter, where information could usually be traced backwards, TikTok resembles a constantly flowing river. You can see what passes in front of you at any given moment, but it is extraordinarily difficult to determine where it came from, how it travelled or where it is heading.<\/p>\n
That is what makes TikTok a black box for journalism.<\/p>\n
When journalism has to reinvent its methods<\/p><\/blockquote>\n
This is not simply an Armenian problem. Newsrooms around the world are confronting the same challenge.<\/p>\n
The experience of the US investigative newsroom Documented<\/i> illustrates<\/a> how reporting on TikTok has fundamentally changed. Their investigations begin not with analysis but with preservation. Videos and accounts disappear so quickly that journalists must first create their own archive before they can begin reporting.<\/p>\n
The implications are significant. Traditional reporting skills alone are no longer enough. Newsrooms increasingly rely on automated transcription, video archiving, reverse image search and data analysis tools such as Whisper, yt-dlp and Google Reverse Image Search to preserve evidence and identify patterns across thousands of videos.<\/p>\n
In other words, journalists are no longer simply verifying individual pieces of content. They are learning to investigate recommendation systems, detect recurring narratives at scale and reconstruct digital evidence that platforms themselves do not preserve.<\/p>\n
When trust itself can be fabricated<\/p><\/blockquote>\n
Armenia\u2019s recent experience revealed another worrying development.<\/p>\n
An investigation<\/a> by Factor TV found that AI-generated political videos did not merely imitate politicians. They also appropriated the visual identity of established news organisations. By copying familiar studio settings, branding and presentation styles, fabricated videos were able to borrow the credibility of legitimate journalism.<\/p>\n
This represents a qualitative shift in the information environment.<\/p>\n
Journalists are no longer verifying only whether information is true. They must now establish whether the apparent source itself is authentic. The challenge is no longer confined to fabricated content; trust itself has become a target for manipulation.<\/p>\n
Beyond fact-checking<\/p><\/blockquote>\n
TikTok has transformed the environment in which public opinion is formed. Journalism, however, is still adapting to that transformation.<\/p>\n
If reporting once depended primarily on finding facts, it increasingly depends on finding the traces those facts leave behind.<\/p>\n
As more public conversation takes place on algorithmically curated platforms, journalism must learn not only to listen to what people are saying, but also to understand the systems that determine what people see, what becomes viral and what remains invisible.<\/p>\n
The future of accountability reporting may therefore depend on something journalism has rarely had to master before: learning how to investigate not only public discourse, but the algorithms that shape it.<\/p>\n","protected":false},"excerpt":{"rendered":"
Journalism has always adapted to new technologies. But today it faces a different kind of challenge: one of the world\u2019s most influential platforms has become remarkably difficult to investigate. Armenia\u2019s recent elections offer a telling example. TikTok emerged as a key arena for political communication, yet it also exposed the platform\u2019s fundamental opacity. AI-generated videos Read the full article…<\/a><\/p>\n","protected":false},"author":3,"featured_media":46779,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ngg_post_thumbnail":0,"footnotes":""},"categories":[16,212],"tags":[],"class_list":["post-46781","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-critique","category-featured-post","author_posts-tatev-hovhannisyan"],"acf":[],"_links":{"self":[{"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/posts\/46781","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/comments?post=46781"}],"version-history":[{"count":1,"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/posts\/46781\/revisions"}],"predecessor-version":[{"id":46782,"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/posts\/46781\/revisions\/46782"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/media\/46779"}],"wp:attachment":[{"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/media?parent=46781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/categories?post=46781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/media.am\/en\/wp-json\/wp\/v2\/tags?post=46781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}