20.500.12556/DKUM-85155 Preobremenjenost z novicami na družbenih medijih in njene posledice magistrsko delo News overload on social media and its consequences V magistrskem delu smo obravnavali preobremenjenost z novicami, deljenimi na družbenem mediju Facebook. Preučevali smo koncepte izogibanje novic, percepcijo “novice me bodo našle” in zaupanje v novice. V izvedeni raziskavi je sodelovalo 71 udeležencev. Rezultati raziskave so pokazali, da preobremenjenost s kognitivno obdelavo novic statistično pomembno napove izogibanje novicam in pasivno spremljanje novic, ne napove pa zaupanja v novice, za katero smo ugotovili, da sicer statistično pomembno napove izogibanje novicam. Ker na slovenskem območju na to temo ni bilo narejene nobene raziskave, lahko naša pomembno prispeva k razumevanju preobremenjenosti z novicami in njenimi posledicami, kar lahko ima velik vpliv na načine, kako mediji delijo novice na družbenih medijih. In this master's thesis, we dealt with the overload of news shared on the social media Facebook. We studied the concepts of news avoidance, "news finds me" perception and news trust. 71 participants took part in the research. The research results showed that news cognitive processing overload statistically significantly predicts news avoidance and passive news consumption, but does not predict news trust, for which we found that statistically significantly predicts news avoidance. Since no research has been done on this topic in Slovenian area, ours can significantly contribute to the understanding of news overload and its consequences, which can have a great impact on the ways in which the media share news on social media. družbeni mediji preobremenjenost z novicami izogibanje novicam percepcija ”novice me bodo našle” zaupanje v novice social media news overload news avoidance “news finds me” perception news trust true true false [T. Voglar] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2023-08-21 08:17:24 2023-10-12 14:50:55 2023-12-12 03:07:45 0000-00-00 00:00:00 2023 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (IX, 91 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 316.472.4(043.2) 176868611 MAG_Voglar_Teja_2023.pdf MAG_Voglar_Teja_2023.pdf 1 2E33409167A94B115EA91C58A10DC085 4ec5ac36c92678aab7cb6b464f33eafa79ccf7e6a53ad796779fe300945236a0 58f8fa90-3feb-11ee-a9b1-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=169900 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0