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Social media are usually accused of being one of the major forces for personalization of ‏political communication and consequently for depolitization of recent politics. However, personalization ‏seems to stimulate certain users to pay more attention to political issues and to act more responsively to ‏such highly personalized political profiles. This article presents the results of a longitudinal analysis of ‏online presence of Barack Obama to assess his political communication through Facebook. It also answers ‏if presence of emotional appeals and private life cues in the posts have any effect on users’ responses in‏ terms of numbers of their likes, comments and shares. Based on a quantitative analysis of 2804 Facebook ‏posts, published in the period from 2008 to 2016, the results of content analysis revealed that Obama ‏used his Facebook fan page almost exclusively to communicate about political issues instead of his ‏personal life. The analysis also confirmed that a smaller number of posts, which contained emotional ‏appeals or cues from private life had significantly higher numbers of users’ responses than posts that ‏were not emotionalized or privatized. While personalization of Obama’s political figure is part of a wider‏ debate, this study confirms that the presence of private cues and emotional appeals stimulates greater‏ responsiveness from Facebook users.‏, Društveni mediji su često optuživani kao jedan od glavnih stimulatora personalizacije političke ‏komunikacija, a posljedično i kao jedan od faktora koji utječu na depolitizaciju suvremene politike. Ipak,‏ personalizacija može potaknuti određene korisnike da više pažnje posvete političkim temama te da‏ djeluju responsivnije prema personaliziranim političkim profilima. U ovom članku su prezentirani rezultati‏ longitudinalne analize političke komunikacije Baracka Obame na njegovoj Facebook stranici. Istraživanje ‏je pokušalo odgovoriti na pitanje u kojoj mjeri je Obama putem Facebooka komunicirao političke teme,‏ a u kojoj mjeri osobni profil, te ima li prisutnost emocija i referenci na privatni život u postovima određeni‏ efekt na korisnike Facebooka, mjereno kroz broj lajkova, komentara i dijeljenja koje ti određeni postovi‏ dobiju. Oslanjajući se na rezultate kvantitativne analize sadržaja koja je provedena na 2804 Facebook ‏posta koji su objavljeni na Obaminoj stranici u razdoblju od 2008. do 2016., istraživanje je otkrilo kako ‏je Obama svoju Facebook stranicu koristio prvenstveno za komuniciranje političkih tema, a tek onda i‏ osobnog profila. Dok je personalizacija Obamine političke komunikacije na Facebooku predmet opširnije‏ rasprave, ovo istraživanje potvrđuje kako postovi koji sadrže emocije i reference na privatni profil privlače‏ veći broj odgovora (lajkova, komentara, dijeljenja) korisnika Facebooka od postova koji ne sadrže emocije‏ ili reference na privatni profil.‏‏ ‏ ‏

This contribution aims to address risks and opportunities for cultural diversity resulting from ‎platforms’ personalisation tools based on a legal analysis of the main provisions of the European Union‎ General Data Protection Regulation (GDPR) on consumer profiling and automated decisions, as well as ‎a sample of data protection policies of selected streaming platforms. It examines how the latter may in‎ practice affect the protection of consumers’ personal data for the purpose of recommending personalised ‎audio-visual and music content online and how such provisions relate to the discoverability of a‎ diversified cultural offer online and, at the European level, the obligation for platforms to give prominence‎ to European works in their catalogues. The paper shows that a lot may still be done to improve the‎ transparency of algorithms used for personalisation purposes and to provide users with greater control of‎ their data, as required by the GDPR.‎, Članak se bavi pitanjima rizika i prilika za kulturnu raznolikost koji proizlaze iz alata za personalizaciju ‎platformi, a temelji se na pravnoj analizi glavnih odredbi Opće uredbe o zaštiti podataka ‎Europske unije (engl. GDPR) o profiliranju potrošača i automatiziranim odlukama, kao i na analizi politika‎ zaštite podataka odabranih streaming platformi. U članku se ispituje kako potonji mogu u praksi‎ utjecati na zaštitu osobnih podataka potrošača u svrhu preporučivanja personaliziranih audiovizualnih‎i glazbenih sadržaja na internetu te kako se takve odredbe odnose na otkrivanje raznolike kulturne ponude‎ na internetu i, na europskoj razini, na obvezu platformi da istaknu europska djela u svojim katalozima.‎ Zaključuje se da još mnogo toga mora biti učinjeno kako bi se poboljšala transparentnost algoritama ‎koji se koriste u svrhu personalizacije te kako bi se korisnicima omogućila veća kontrola njihovih‎ podataka, kako to zahtijeva GDPR.‎

The article discusses curriculum management changes while trying to respond to the challenge of learning personalisation in the field of lower-secondary education in Lithuania. The paper investigates what transformations learning personalisation might bring into educational practices and how they change regular curriculum management practices starting from learning environment, new roles of teachers, combining individual and group work in the classroom environment and development of new learning scenarios. This article is based on the findings of a case study of one of the Lithuanian lower secondary schools, when a new learning scenario was implemented creatively applying a digital storytelling method. The research indicates that students’ active classroom participation increased, driven by the personalised approach and the use of diverse digital media. The article reveals that learning personalisation supported by technologies brings changes to the classroom management practices and strengthens teacher-student and peer-to-peer collaboration.

Uslijed demografskih promjena, socijalni rad sa starijim osobama pred velikim je izazovima. Važno je na te izazove odgovoriti profesionalno u skladu s načelima i smjernicama za socijalni rad. U tom je kontekstu vrlo važna metoda personaliziranog planiranja i pružanja usluga. Ta metoda postoji u međunarodnom kontekstu socijalnog rada. Stoga se u ovom radu govori o njezinom unapređenju i praktičnoj primjeni iz perspektive pružanja personaliziranih usluga i perspektive korisnika. Personalizacija, perspektiva korisnika i uključenost načela su koja su dio suvremenih socijalnih politika, no u kontekstu dugoročne skrbi ta su načela temelj za promjenu paradigme u skrbi. U socijalnom radu, spomenuta su načela ključne polazne točke za pružanje profesionalne pomoći koja se osigurava upravo metodom personaliziranog planiranja i pružanja usluga. Specifične karakteristike te metode u socijalnom radu predstavljamo na primjeru starijih osoba te ukazujemo na slabe točke u pružanju personalizirane skrbi i osnaživanju starijih osoba. Nakon primjera za primjenu te metode u institucionalnoj skrbi za starije osobe u Sloveniji ukazujemo na vrstu promjena do kojih dolazi u životu korisnika i radu institucije uslijed primjene te metode. Smatramo da će u budućnosti metoda personaliziranog planiranja i pružanja usluga biti glavno načelo socijalnog rada po kojem se profesionalni socijalni rad razlikuje od drugih disciplina, čime ima središnju ulogu u osnaživanju starijih osoba i omogućavanju autonomnog odlučivanja u procesu primanja pomoći., Due to demographic changes, social work with older people has been confronted with great challenges. It is essential to respond to them professionally, in a way adapted to the concepts and guidelines of social work. The method of personal planning and implementation of services is very important in this context. This method is present in the international context of social work; therefore its development and practice are discussed in this contribution from the perspective of providing personalisation and user perspective. Personalisation, user perspective and participation are the concepts followed by contemporary social policies, but in long-term care they represent the foundations of the paradigm shift in care. In social work, the concepts mentioned are key starting points to substantiate the provision of professional help that is ensured with the very method of personal planning and implementation of services. The specific features of this method in social work shall be presented in the case of older people, and we shall draw attention to issues that represent our weaker points in providing personalisation and empowerment of older people. Following the example of the use of this method in institutional care for older people in Slovenia, we shall show the nature of changes emerging from this method in the life of the residents and the operation of institutions. For the future, the method of personal planning and implementation of services is seen as the central principle of social work that separates professional social work from other disciplines, giving it a central role in the empowerment of older people and providing autonomous decision-making in the helping process.

This paper analyses the daily newspaper reporting on key political leaders of the 2016 parliamentary elections, the first early parliamentary elections in Croatia directly caused by a breakup of the ruling coalition. The introduction to these surprise and short-notice elections, at which preferential voting was practiced for only the second time, was a short election campaign and a change in leadership of the biggest party (HDZ), which triggered the extensive use of personalisation in campaigns run by the biggest parties and their coalitions. This study examines how five leaders of the most prominent political parties were presented in the six most relevant Croatian daily newspapers during the official election campaign. The findings reveal that the leaders of the two biggest parties dominated media coverage, but also that the only new leader, HDZ's Andrej Plenković, had a very favourable treatment in all of the analysed daily newspapers. Results also showed political programmes and private lives of the leaders to be marginal topics within the analysed leaders' media coverage., Rad analizira izvještavanje dnevnih novina o ključnim političkim vođama parlamentarnih izbora u Hrvatskoj 2016. godine, prvih prijevremenih parlamentarnih izbora u Hrvatskoj koji su se dogodili kao posljedica raspada vladajuće koalicije. Uvod u ove nagle izbore na kojima se sustav preferencijalnoga glasovanja rabio tek drugi put bila je kratka izborna kampanja i promjena vođe najveće stranke (HDZ), što je utjecalo na snažnu prisutnost elementa personalizacije u kampanjama vodećih stranaka i koalicija. Ovaj rad analizira kako je pet vođa najjačih stranaka i koalicija bilo predstavljeno u šest dnevnih novina za trajanja službene izborne kampanje. Rezultati istraživanja pokazali su kako su vođe dviju najvećih stranaka dominirali u medijskim objavama, ali i da je jedino novo lice među vođama u odnosu na prethodne izbore, predsjednik HDZ-a Andrej Plenković, imao izraženo pozitivan tretman u većini analiziranih medija. Konačno, rezultati pokazuju i kako su se politički programi i privatan život političkih vođa pokazali kao marginalne teme medijskih objava posvećenih političkim vođama.

Lielā datu noliktavās uzkrāto datu un atskaišu apjoma dēļ, atskaišu izpilde un pārlūkošana var būt nogurdinoša un laikietilpīga. Turklāt, lietotājs ir visai ierobežots savu vēlmju izteikšanā kvalitatīvāku rezultātu iegūšanai (arī komerciālos datu noliktavu atskaišu rīkos). Taču, ir jēga veikt eksperimentus personalizācijas iespēju jomā, kuru mērķis būtu lietotāja vajadzībām atbilstošu datu sniegšana, jo datu noliktavu personalizācijas pētījumi šobrīd ir attīstības stadijā. Pēc veiktā esošo datu noliktavu personalizācijas pieeju salīdzinājuma, pētījums tika attīstīts atskaišu rekomendāciju jomā, kurš balstās uz tiešā vai netiešā veidā iegūtiem lietotāja iestatījumiem par datu noliktavas shēmas elementiem. Galvenais promocijas darba devums ir trīs uz saturu balstītas metodes: hot-start, cold-start un semantic hot-start, kuras ļauj veikt lietotājam potenciāli interesējošo atskaišu atlasi un rekomendēšanu, ņemot vērā lietotāja veiktos iestatījumus par datu noliktavas shēmas elementiem un agregātfunkcijām. Katrā no šīm metodēm tiek izmantots savs paņēmiens, lai noteiktu atskaišu līdzību: hot-start metodē tiek izmantota lietotāja aktivitātes žurnāltabula, cold-start metodē tiek veikta atskaišu struktūras analīze, semantic hot-start metodē tiek izmantoti lietotāja veiktie iestatījumi par atskaites elementiem. Tika veikts praktisks eksperimentāls pētījums, kurā piedalījās lietotāji ar dažādu pieredzes līmeni darbā ar atskaišu rīkiem, lai noskaidrotu, kura rekomendāciju veidošanas metode sniegs precīzākas rekomendācijas. Katras metodes novērtēšanai un savstarpējai salīdzināšanai tika analizētas lietotāja veiktās darbības eksperimenta laikā, novērtētas lietotāja atsauksmes, kuras tie sniedza, aizpildot anketu ar jautājumiem par eksperimenta norisi. Eksperimenta analīze parādīja, ka pieredzējušie lietotāji vislabāk vērtēja semantic hot-start metodi, turpretim, lietotāji ar nelielu pieredzi deva priekšroku gan cold-start, gan semantic hot-start metodei., Due to the large volumes of data and reports accumulated in data warehouses, report exploration and execution seems to be a tedious and time-consuming task. Moreover, a user is rather limited in expressing the likes and dislikes (even in commercial tools for data warehouse reporting) to get the results that are more satisfying. However, there is a space for experiments in personalization opportunities with the purpose to provide the data that is relevant for a user, since data warehouse personalization is a developing field of research. As a result of the comparative analysis of the state-of-the-art approaches of data warehouse personalization, the research continued in the direction of report recommendations based on the implicitly or explicitly defined user preferences on elements of the data warehouse schema. The main contribution of the thesis are three content-based methods – hot-start, cold-start, and semantic hot-start – that distinguish and recommend reports, which potentially may interest the user, exploiting user preferences for data warehouse schema elements and aggregate functions. Each of the methods uses a different technique to define similarity of reports: the hot-start method takes advantage of the user activity log, the cold-start method analyzes the structure of reports, and the semantic hot-start method employs user-defined preferences for report elements. The experimental study was performed involving users who had different level of experience with reporting tools to explore, which of the methods for generating recommendations would produce more accurate recommendations. To evaluate each method and compare with others, user activity log was analyzed as well as direct feedback was gathered in a form of user survey and processed. Summarizing the results of the experimentation, the semantic hot-start method was most appreciated by experienced users, whereas novice users showed preference for both cold-start and semantic hot-start methods.

Recommender systems are a popular and a highly researched way of helping users get to their desired content in the huge amount of available data, and services online. Understanding the situation in which users consume the items was shown to improve the recommendation process. For that reason, context-aware recommender system (CARS) employs contextual information in order to enhance the user’s model and to improve the recommendations. An issue that is still open is how to decide which pieces of contextual information to acquire and how to incorporate them into CARS, since using irrelevant piece of contextual information could have a negative impact on the recommendations. We propose a methodology for detecting which pieces of contextual information contribute to explaining the variance in the ratings, based on statistical testing. We also inspect the impact of the detected relevant pieces of contextual information on the ratings prediction based on the matrix-factorization algorithm. The experiment was conducted on the MovieAT database. The results showed a significant difference in the ratings prediction using the relevant and the irrelevant pieces of contextual information. We also confirmed the positive impact of the relevant, and negative impact of the irrelevant pieces of contextual information with respect to the uncontextualized model., Sustavi za preporuke (eng. recommender systems) predstavljaju čest i vrlo istražen način pružanja pomoći korisnicima u svrhu pronalaska željenog sadržaja u velikoj količini dostupnih podataka i usluga. Pokazalo se da uvid u situaciju u kojoj korisnici koriste sadržaj doprinosi kvaliteti preporuka. Zbog toga, konteksta svjesni sustavi za preporuke (eng. context-aware recommender systems CARS) koriste kontekstne informacije kako bi poboljšali model korisnika i time kvalitetu preporuka. Jedan od neriješenih problema je kako odlučiti koje kontekstne informacije je potrebno sakupiti i kako ih upotrijebiti u CARSu, budući da upotreba nebitnih kontekstnih informacija može imati negativan utjecaj na kvalitetu preporuka. Mi predlažemo metodologiju za otkrivanje onih kontekstih informacija koje doprinose objašnjavanju varijabilnosti ocjena za sadržaje, utemeljenu na statističkom testiranju. Tako.er, istražujemo utjecaj otkrivenog bitnog konteksta na predvi.anje ocjena utemeljeno na algoritmu faktorizacije matrica. Eksperiment je proveden na bazi podataka MovieAT. Rezultati su pokazali znatnu razliku u predvi.anju ocjena prilikom korištenja bitnog i nebitnog konteksta. Ujedno je potvr.en i pozitivan utjecaj bitnog, odnosno negativan utjecaj nebitnog konteksta, u odnosu na sustav koji ne koristi kontekst, što upućuje na važnost i kvalitetu detekcije.