What Fetchlens measures
Serbian news sites and radio, around the clock. Who is mentioned, in what tone, who published a story first and who picked it up.
Free, no account needed
- Search and overview — share of coverage for any brand, institution or person
- Media pulse — how much gets picked up each day, and which stories travelled across the most sites
- A page per subject — who wrote about them, who they appear alongside, on which topics
- Check a single link — paste a story's URL and find out whether it is the original or a pickup
- Radio advertisers — the brands running in ad breaks
Who gets mentioned
Every article is mined for brands, institutions and named people, distinguishing whether the text is about someone or merely mentions them in passing. That is why your results do not fill up with brands credited as the source of a photo.
Each mention also carries an industry, a type of business event (acquisition, tender, scandal, layoffs, sponsorship…) and, for people, their profession. So the question “most of my bad coverage comes from one topic” is answerable, instead of just “18% negative”.
Who published first, and who picked it up
The same text across several sites is recognised as one event, with the order of publication and the delay in minutes. You see the whole pickup chain — who started it, who followed, and how long it took.
Radio, which nobody else measures
Radio is recorded around the clock, transcribed and split into segments with exact airtimes. Those segments then go through the same processing as web articles, so radio and web sit in the same report. You also see which brands are heard in ad breaks and how much of the airtime is advertising.
Tone
Every mention carries its own tone, independent of the tone of the article as a whole. Tone is tracked per newsroom too, so you can see where someone wrote softly and where sharply.
Pick a set of subjects and a set of newsrooms and follow how tone moves over time — an entire board, or an entire competitive set, as a single line.
Watchlists and reports
- Lists of the subjects you follow — your brands and your competitors, with your own brand flagged
- Share-of-voice report: share per brand, movement over time, tone, and the full list of mentions
- Sub-brands roll up to the parent company where needed, and the report row says so
- Print to PDF with every mention, and export to CSV, one row per mention
Deeper analysis
- A subject's surroundings — who they regularly appear with, separating relationships the text states from mere co-mention
- Unusual company — connections that stand out from the expected, and ones that were not there last period
- Editorial divide — where newsrooms part ways, derived from the data, with the confidence shown
- Newsroom overview — how much each one picks up, how much it is picked up, who signs the articles, and who it treats more softly or more harshly than average
- Hate speech and political labelling — separating what the newsroom said from what someone it quotes said
Check every number
Every article has a page showing exactly what was extracted and on what basis — each brand and person, how they were written, in which role, and with which sentence.
Names and search
Names are kept exactly as the media write them, and search finds them in both Cyrillic and Latin script, by abbreviation and by full name — “Tramp” finds “Donald Trump”, “NIS” finds “Naftna industrija Srbije”.
Accounts
Each user gets their own account, while lists and reports belong to the company that created them. An agency can run several clients side by side, without one seeing another.
Public pages show shares as percentages and the first five results. Absolute figures, the full archive, tone and reports are behind the login — pricing.