This paper addresses a problem of automatic estimation of three journalistic news values, more specifically frequency, threshold and proximity, by applying various text mining methods. Although theoretical frameworks already exist in social sciences that identify if an event is newsworthy, these manual techniques require enormous amount of time and domain knowledge. Thus, we illustrate how text mining can assist journalistic work by finding news values of different international publishers across the world. Our experiments both on a collection of news articles from different publishers about Apple's launch of new iPhone 6 and Apple Watch and on a wider collection of documents confirm that some journalists still follow some of the well-known journalistic values. Furthermore, we acknowledge that news values are often orthodox and outdated, and no longer apply to all publishers. We also outline possible future implications of our approach to work on interaction between text mining and journalistic domains. Povzetek: Članek obravnava problem avtomatske ocene novičarskih vrednosti, natančneje: pogostosti, prag pomembnosti ter bližine (oz. relevance), z uporabo različnih metod avtomatske analize teksta. Čeprav v družboslovju obstaja več teoretičnih ogrodij, ki določajo ali je nek dogodek vreden poročanja, te temeljijo na »ročnem« delu in zahtevajo veliko časa ter globoko poznavanje domene. V članku nakažemo, kako lahko avtomatska analiza teksta pomaga pri novinarskem delu z uvidom v novičarske vrednosti na globalnem nivoju in med velikimi, mednarodnimi mediji. Rezultati naših poskusov na zbirki člankov iz različnih virov (spletnih časopisov) o splovitvi izdelkov iPhone 6 in Apple Watch podjetja Apple potrjujejo, da novinarji še sledijo nekaterim uveljavljenim novičarskim vrednostim. Ob tem ugotavljamo, da so nekatere novičarske vrednosti preveč ortodoksne in zastarele ter ne veljajo več za vse novičarske vire. Na koncu orišemo načrtovano nadaljnje delo in možne implikacije uporabe avtomatskih metod analize teksta na novinarsko delo.
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