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Az adatbázis a projektoldalak és a szabadúszó profilok információinak összekapcsolásával készült, így egy projekt–pályázó szintű, összekapcsolt adathalmaz jött létre.\n\nAz adatok részletes információkat tartalmaznak a projektek követelményeiről, a benyújtott ajánlatokról, a pályázók készségeiről és alapvető jellemzőiről, valamint a jelentkezési üzenetekből és bemutatkozásokból származó szöveges mutatókról. Ezek a szöveges jellemzők az önbemutatás több aspektusát ragadják meg, például az olvashatóságot, a formalitást, az udvariassági stratégiákat, a hangnemet, az érzelmi töltetet és a meggyőző nyelvezetet, valamint az autentikusságra utaló jegyeket (például a szöveg egyediségét és a bemutatkozás stílusát).\n\nAz adatgyűjtés célja, hogy nagymintás empirikus bizonyítékot nyújtson arra, hogyan és milyen mértékben hat az online önbemutatás – a hagyományos „kemény” jelzéseken (például készségek és tapasztalat) túl – a felvételi döntésekre, illetve hogy feltárja, mely benyomásmenedzsment-stratégiák bizonyulnak hatékonynak vagy éppen hátrányosnak az online munkaerőpiac különböző területein.","dsDescriptionDate_hu":"2025-03-25"},"producer":{"producerName":"Ilyés, Virág","producerAffiliation":"HUN-REN Centre for Economic and Regional Studies"},"keyword":[{"keywordValue":"online labor markets"},{"keywordValue":"hiring outcomes"},{"keywordValue":"self-presentation"},{"keywordValue":"impression management"},{"keywordValue":"job application"},{"keywordValue":"skills"},{"keywordValue":"text analysis"}],"dsDescription":{"dsDescriptionValue":"The dataset was collected from Freelancer.com to examine how online impression management shapes hiring outcomes in gig-economy environments. 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