Ljubisa Bojic
Biographic Data
| ID | 5773383 |
|---|---|
| NAME | Ljubisa Bojic |
| GIVEN NAMES | Ljubisa |
| FAMILY NAME | Bojic |
| SIGNATURE | BOJIĆ L |
| AFFILIATIONS | University of Belgrade |
| ORCID | 0000-0002-5371-7975 |
| VERIFIED | Yes |
| TOTAL WORKS | 26 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 26 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
The quasi-gods of algorithmic providence: Recommender systems and religious frameworks
Recommender systems now mediate information exposure for over half the global population daily, shaping beliefs, values, and life decisions at unprecedented scale. Prior research has documented polarization effects, responsibility gaps in autonomous systems, and patterns of AI sacralization in public discourse. Philosophy of technology has established that such systems function as socio-technical assemblages with world-making power rather than ne…
“There Are Risks, but I Will Use It Anyway”: Predicting the Urge to Regulate and the Intended Use of Generative AI Among Youth in Four Countries
Generative AI is rapidly evolving, yet our understanding of how the public assesses and evaluates this technology remains limited. This is particularly true for youths who traditionally are early adopters of new technologies. Our study investigates how sociodemographic variables as well as risk perceptions influence youths′ future urge to regulate as well as their future intention to use generative AI in Indonesia, Austria, Serbia, and Hong Kong …
Examining perceived generative AI valence on social media and its implications on generative AI attitudes and uses among young adults: A cross-national comparison
Purpose The adoption and use of generative AI (GAI) have grown rapidly among young adults around the world. Grounded in technology adoption and attitude-behavior theories, this study investigates how the perceived valence of generative AI on social media shapes young adults’ intentions to use generative AI across four societies while also examining the mediating roles of perceived usefulness and general attitudes. Methodology Cross-national surve…
A systematic review of emerging technologies and their impact on adolescent well-being and religious identity
The rapid growth of emerging digital technologies is reshaping youth psychological well-being and religious identity in increasingly plural social contexts. This systematic review examines the impact of deepfakes, gaming, the metaverse, virtual reality, and chat applications on youth well-being, with particular attention to religion as both a protective factor and a target of digital harm. A PRISMA 2020-guided systematic review was conducted usin…
The dual impact of virtual reality: Examining the addictive potential and therapeutic applications of immersive media in the metaverse
The emergence of the metaverse – envisioned as a hyperreal virtual universe enabling boundless human interaction – has the potential to revolutionize our conception of media. This transformation could alter society as we know it. This paper identifies addictive features of social media, including immersion, interactivity, real-time access, and personalization. These features are examined within the context of virtual reality through a literature …
Towards a societal AI alignment benchmark for evaluating human–machine value convergence
As general-purpose AI systems become increasingly integrated into society for tasks such as information retrieval, content generation, problem-solving, text analysis, coding, and automation, it is crucial to assess their long-term impact on humans. This research explores sentiment of Large Language Models (LLMs) and humans towards Artificial General Intelligence (AGI). The methodology adopted was a Likert scale survey. Seven LLMs, including GPT-4…
Navigating the winds of change: Strategic foresight and the power of weak signals
In an era of increased complexity, interdependence, uncertainty and rapidly advancing technology, the ability to identify and swiftly adapt to current and future trends is key to progressing sustainability. Intersecting drivers and stressors are converging to destabilize socioecological systems and reshape national, regional and global outlooks. The intersecting and converging crises of the 21st century have exposed the limits of planning that re…
Does GPT-4 surpass human performance in linguistic pragmatics
As Large Language Models (LLMs) become increasingly integrated into everyday life as general-purpose multimodal AI systems, their capabilities to simulate human understanding are under examination. This study investigates LLMs’ ability to interpret linguistic pragmatics, which involves context and implied meanings. Using Grice’s communication principles, we evaluated both LLMs (GPT-2, GPT-3, GPT-3.5, GPT-4, and Bard) and human subjects ( N = 147)…
Who Trusts AI for Health Information? A Cross-National Survey on Trust Determinants in Four European Countries
As generative artificial intelligence (AI) systems such as ChatGPT become increasingly popular sources of health information, understanding what shapes users’ trust in AI-generated health information (AI-HI) is essential. Despite growing use, little is known about how human- and source-related factors jointly influence trust across national contexts. Drawing on frameworks from AI trust and online health information research, this study used multi…
Help me, Doctor AI? A cross-national experiment on the effects of disease threat and stigma on AI health information-seeking intentions
Generative AI chatbots are emerging as novel sources for health information. Adopting a cross-national perspective, this study examines how disease-related factors—namely, disease threat and stigma—influence both individuals’ intentions to seek health information via generative AI and their preferences for AI compared to traditional interpersonal sources like doctors and peers. In a preregistered 2x2 online experiment, participants from Austria, …
From sparks to action: The role of political influencers for young adults’ political efficacy and political participation in Austria, Hong Kong, Indonesia, and Serbia
Two types of social media influencers play an important role in political communication: those who hardly post political content in addition to their regular content (i.e., social media influencers; SMIs) and those who specifically focus on political content (i.e., political social media influencers; PSMIs). To shed light on the difference between the two types, we conducted a comparative cross-sectional survey examining the relationship between …
An Agent‐Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media
Digital platforms now act as the primary environments for public discourse, where recommender systems shape visibility, emotion, and interpretation. This study introduces the Recommender Systems LLMs Playground (RecSysLLMsP), a simulation framework designed to examine how algorithmic personalization interacts with language generation to influence engagement and polarization. The research provides a reproducible and transparent environment for tes…
Signs of consciousness in AI: Can GPT-3 tell how smart it really is
The emergence of artificial intelligence (AI) is transforming how humans live and interact, raising both excitement and concerns—particularly about the potential for AI consciousness. For example, Google engineer Blake Lemoine suggested that the AI chatbot LaMDA might become sentient. At that time, GPT-3 was one of the most powerful publicly available language models, capable of simulating human reasoning to a certain extent. The notion of GPT-3 …
Exploring the Socio-Technical Imaginary of Artificial General Intelligence in The Bard Large Language Model: A Narrative Analysis on Perspectives and Dialectics
The 2022 release of ChatGPT sparked widespread discussions on Artificial General Intelligence (AGI). Through a detailed examination of an interview with Bard, a large language model, the study uncovers narratives of optimism and pessimism regarding AGI's future implications. It found a higher leaning towards optimism about AGI's potential effects, extending from education, arts, and relationships, to economy and space exploration. Conversely, pes…
Cern for AI: A theoretical framework for autonomous simulation-based artificial intelligence testing and alignment
This paper explores the potential of a multidisciplinary approach to testing and aligning artificial intelligence (AI), specifically focusing on large language models (LLMs). Due to the rapid development and wide application of LLMs, challenges such as ethical alignment, controllability, and predictability of these models emerged as global risks. This study investigates an innovative simulation-based multi-agent system within a virtual reality fr…
AI alignment: Assessing the global impact of recommender systems
The recent growing concerns surrounding the pervasive adoption of generative AI can be traced back to the long-standing influence of AI algorithms that have predominantly served as content curators on large online platforms. These algorithms are used by online services and platforms to decide what content to show and in what order, and they can have a negative impact, including the spread of misinformation, social polarization, and echo chambers …
The Patterns of Influence: Liwc Analysis of Leading News Portals' Impact and Communication Accommodation Theory on Twitter
A quantitative analysis was conducted on the tweets of 20 leading Serbian mass media outlets and their followers during the three months from January 1 to March 30, 2021. The analysis, that encompassed more than 1 million tweets, was conducted using (a) Twitter API, (b) the Serbian version of LIWC linguistic dictionary, and (c) additional statistical analyses. Analyses revealed that words related to affective processes (negative emotions), social…
Recommender algorithms as a source of power in contemporary society
Both tech companies and AI algorithms exercise immense power in today's globally interconnected world, which is based on big data and digital footprints of online users. This paper analyses the transfer of power from societies to tech companies and algorithms with the aim of examining whether recommender algorithms can be considered a public good. Deployed methods include content analysis and literature reviews. The study has found that control e…
The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from the Page Rank and advertising platforms to social media trending tools to draw conclusions about their social effects. Decisions on how to simplify the complex world around us into dozens of possibilities immensely affect societies and individuals. Similar to our…
Metaverse through the prism of power and addiction: What will happen when the virtual world becomes more attractive than reality
New technologies are emerging at a fast pace without being properly analyzed in terms of their social impact or adequately regulated by societies. One of the biggest potentially disruptive technologies for the future is the metaverse, or the new Internet, which is being developed by leading tech companies. The idea is to create a virtual reality universe that would allow people to meet, socialize, work, play, entertain, and create. Methods coming…
The battle between light and dark side of personality: How light and dark personality traits predict mating strategies in the online context
In recent years, online dating websites, applications, and social media have become increasingly popular tools for finding romantic and/or sexual partners. Individual differences in personality traits predict the use of online dating websites and applications and also influence the motives for their use. Previous work regarding mating strategies in the context of online dating has focused on the Dark Tetrad concept of malevolent personality while…
Brain-machine interface: New challenge for humanity
The aim of this paper is to clarify specific aspects of the impact of the brain-machine interface on our understanding of subjectivity. The brain-machine interface is presented as a phase of cyborgization of humans. Some projects in the field of brain-machine interface are aimed at enabling consensual telepathy - communication without symbolic mediation. Consensual telepathy refers to one of potential ways of transmission of information within si…
Technofeudalism illustrated by Trump's Twitter suspension and Australia vs. Google and Facebook dispute
Social media are becoming an indispensable communication tool today, including political communication. Therefore, technological companies running them have a great power. Every intervention they have in the public sphere may have far-reaching consequences. We will focus on two cases of the influence of technological companies on media, election and legislative processes as basic factors of democracy. We will consider the implications of the proh…
What makes millennials blow the whistle: From cultural to socio-psychological perspectives on whistleblowers
Whistleblowing cases that shook intelligence community in the last decade have something in common. Edward Snowden, Bradley Manning, and Reality Winner are all members of a single generation - Millennials. We challenge the viewpoint that depicts this generation as a potential "insider threat." Millennials do have certain psychological traits and attitudes that can be related to tendencies towards whistleblowing, but these findings still do not ap…
Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
Transfer from social to semantic web brought us to an era of algorithmic society, placing issues such as privacy, big data and AI in the spotlight. although neutral by their nature, the power of big data algorithms to impact societies became major concern outcoming with fines issued to Facebook in the US. These events were initiated by alleged breaches of data privacy connected to recommender system technology, which can provide individualized co…
AI alignment: Assessing the global impact of recommender systems
The recent growing concerns surrounding the pervasive adoption of generative AI can be traced back to the long-standing influence of AI algorithms that have predominantly served as content curators on large online platforms. These algorithms are used by online services and platforms to decide what content to show and in what order, and they can have a negative impact, including the spread of misinformation, social polarization, and echo chambers …
Metaverse through the prism of power and addiction: What will happen when the virtual world becomes more attractive than reality
New technologies are emerging at a fast pace without being properly analyzed in terms of their social impact or adequately regulated by societies. One of the biggest potentially disruptive technologies for the future is the metaverse, or the new Internet, which is being developed by leading tech companies. The idea is to create a virtual reality universe that would allow people to meet, socialize, work, play, entertain, and create. Methods coming…
Cern for AI: A theoretical framework for autonomous simulation-based artificial intelligence testing and alignment
This paper explores the potential of a multidisciplinary approach to testing and aligning artificial intelligence (AI), specifically focusing on large language models (LLMs). Due to the rapid development and wide application of LLMs, challenges such as ethical alignment, controllability, and predictability of these models emerged as global risks. This study investigates an innovative simulation-based multi-agent system within a virtual reality fr…
Political marketing and strategies of digital illusions: Examples from Venezuela and Brazil
State represents a social phenomenon which is constantly changing - just like all political actors. The direction of that evolution is determined by the development and current state of the art in technological domain. That explains how the rise of social media and new ICTs has shaped the contemporary political communication. This paper sheds light on the manner in which digital tools are exploited in an unpredictable social ambience which is cha…
Technofeudalism illustrated by Trump's Twitter suspension and Australia vs. Google and Facebook dispute
Social media are becoming an indispensable communication tool today, including political communication. Therefore, technological companies running them have a great power. Every intervention they have in the public sphere may have far-reaching consequences. We will focus on two cases of the influence of technological companies on media, election and legislative processes as basic factors of democracy. We will consider the implications of the proh…
What makes millennials blow the whistle: From cultural to socio-psychological perspectives on whistleblowers
Whistleblowing cases that shook intelligence community in the last decade have something in common. Edward Snowden, Bradley Manning, and Reality Winner are all members of a single generation - Millennials. We challenge the viewpoint that depicts this generation as a potential "insider threat." Millennials do have certain psychological traits and attitudes that can be related to tendencies towards whistleblowing, but these findings still do not ap…
Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
Transfer from social to semantic web brought us to an era of algorithmic society, placing issues such as privacy, big data and AI in the spotlight. although neutral by their nature, the power of big data algorithms to impact societies became major concern outcoming with fines issued to Facebook in the US. These events were initiated by alleged breaches of data privacy connected to recommender system technology, which can provide individualized co…
Recommender algorithms as a source of power in contemporary society
Both tech companies and AI algorithms exercise immense power in today's globally interconnected world, which is based on big data and digital footprints of online users. This paper analyses the transfer of power from societies to tech companies and algorithms with the aim of examining whether recommender algorithms can be considered a public good. Deployed methods include content analysis and literature reviews. The study has found that control e…
The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from the Page Rank and advertising platforms to social media trending tools to draw conclusions about their social effects. Decisions on how to simplify the complex world around us into dozens of possibilities immensely affect societies and individuals. Similar to our…
Metaverse through the prism of power and addiction: What will happen when the virtual world becomes more attractive than reality
New technologies are emerging at a fast pace without being properly analyzed in terms of their social impact or adequately regulated by societies. One of the biggest potentially disruptive technologies for the future is the metaverse, or the new Internet, which is being developed by leading tech companies. The idea is to create a virtual reality universe that would allow people to meet, socialize, work, play, entertain, and create. Methods coming…
The battle between light and dark side of personality: How light and dark personality traits predict mating strategies in the online context
In recent years, online dating websites, applications, and social media have become increasingly popular tools for finding romantic and/or sexual partners. Individual differences in personality traits predict the use of online dating websites and applications and also influence the motives for their use. Previous work regarding mating strategies in the context of online dating has focused on the Dark Tetrad concept of malevolent personality while…
Brain-machine interface: New challenge for humanity
The aim of this paper is to clarify specific aspects of the impact of the brain-machine interface on our understanding of subjectivity. The brain-machine interface is presented as a phase of cyborgization of humans. Some projects in the field of brain-machine interface are aimed at enabling consensual telepathy - communication without symbolic mediation. Consensual telepathy refers to one of potential ways of transmission of information within si…
The Patterns of Influence: Liwc Analysis of Leading News Portals' Impact and Communication Accommodation Theory on Twitter
A quantitative analysis was conducted on the tweets of 20 leading Serbian mass media outlets and their followers during the three months from January 1 to March 30, 2021. The analysis, that encompassed more than 1 million tweets, was conducted using (a) Twitter API, (b) the Serbian version of LIWC linguistic dictionary, and (c) additional statistical analyses. Analyses revealed that words related to affective processes (negative emotions), social…
Signs of consciousness in AI: Can GPT-3 tell how smart it really is
The emergence of artificial intelligence (AI) is transforming how humans live and interact, raising both excitement and concerns—particularly about the potential for AI consciousness. For example, Google engineer Blake Lemoine suggested that the AI chatbot LaMDA might become sentient. At that time, GPT-3 was one of the most powerful publicly available language models, capable of simulating human reasoning to a certain extent. The notion of GPT-3 …
Exploring the Socio-Technical Imaginary of Artificial General Intelligence in The Bard Large Language Model: A Narrative Analysis on Perspectives and Dialectics
The 2022 release of ChatGPT sparked widespread discussions on Artificial General Intelligence (AGI). Through a detailed examination of an interview with Bard, a large language model, the study uncovers narratives of optimism and pessimism regarding AGI's future implications. It found a higher leaning towards optimism about AGI's potential effects, extending from education, arts, and relationships, to economy and space exploration. Conversely, pes…
Cern for AI: A theoretical framework for autonomous simulation-based artificial intelligence testing and alignment
This paper explores the potential of a multidisciplinary approach to testing and aligning artificial intelligence (AI), specifically focusing on large language models (LLMs). Due to the rapid development and wide application of LLMs, challenges such as ethical alignment, controllability, and predictability of these models emerged as global risks. This study investigates an innovative simulation-based multi-agent system within a virtual reality fr…
AI alignment: Assessing the global impact of recommender systems
The recent growing concerns surrounding the pervasive adoption of generative AI can be traced back to the long-standing influence of AI algorithms that have predominantly served as content curators on large online platforms. These algorithms are used by online services and platforms to decide what content to show and in what order, and they can have a negative impact, including the spread of misinformation, social polarization, and echo chambers …
Does GPT-4 surpass human performance in linguistic pragmatics
As Large Language Models (LLMs) become increasingly integrated into everyday life as general-purpose multimodal AI systems, their capabilities to simulate human understanding are under examination. This study investigates LLMs’ ability to interpret linguistic pragmatics, which involves context and implied meanings. Using Grice’s communication principles, we evaluated both LLMs (GPT-2, GPT-3, GPT-3.5, GPT-4, and Bard) and human subjects ( N = 147)…
Who Trusts AI for Health Information? A Cross-National Survey on Trust Determinants in Four European Countries
As generative artificial intelligence (AI) systems such as ChatGPT become increasingly popular sources of health information, understanding what shapes users’ trust in AI-generated health information (AI-HI) is essential. Despite growing use, little is known about how human- and source-related factors jointly influence trust across national contexts. Drawing on frameworks from AI trust and online health information research, this study used multi…
Help me, Doctor AI? A cross-national experiment on the effects of disease threat and stigma on AI health information-seeking intentions
Generative AI chatbots are emerging as novel sources for health information. Adopting a cross-national perspective, this study examines how disease-related factors—namely, disease threat and stigma—influence both individuals’ intentions to seek health information via generative AI and their preferences for AI compared to traditional interpersonal sources like doctors and peers. In a preregistered 2x2 online experiment, participants from Austria, …
From sparks to action: The role of political influencers for young adults’ political efficacy and political participation in Austria, Hong Kong, Indonesia, and Serbia
Two types of social media influencers play an important role in political communication: those who hardly post political content in addition to their regular content (i.e., social media influencers; SMIs) and those who specifically focus on political content (i.e., political social media influencers; PSMIs). To shed light on the difference between the two types, we conducted a comparative cross-sectional survey examining the relationship between …
An Agent‐Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media
Digital platforms now act as the primary environments for public discourse, where recommender systems shape visibility, emotion, and interpretation. This study introduces the Recommender Systems LLMs Playground (RecSysLLMsP), a simulation framework designed to examine how algorithmic personalization interacts with language generation to influence engagement and polarization. The research provides a reproducible and transparent environment for tes…
The quasi-gods of algorithmic providence: Recommender systems and religious frameworks
Recommender systems now mediate information exposure for over half the global population daily, shaping beliefs, values, and life decisions at unprecedented scale. Prior research has documented polarization effects, responsibility gaps in autonomous systems, and patterns of AI sacralization in public discourse. Philosophy of technology has established that such systems function as socio-technical assemblages with world-making power rather than ne…
“There Are Risks, but I Will Use It Anyway”: Predicting the Urge to Regulate and the Intended Use of Generative AI Among Youth in Four Countries
Generative AI is rapidly evolving, yet our understanding of how the public assesses and evaluates this technology remains limited. This is particularly true for youths who traditionally are early adopters of new technologies. Our study investigates how sociodemographic variables as well as risk perceptions influence youths′ future urge to regulate as well as their future intention to use generative AI in Indonesia, Austria, Serbia, and Hong Kong …
Examining perceived generative AI valence on social media and its implications on generative AI attitudes and uses among young adults: A cross-national comparison
Purpose The adoption and use of generative AI (GAI) have grown rapidly among young adults around the world. Grounded in technology adoption and attitude-behavior theories, this study investigates how the perceived valence of generative AI on social media shapes young adults’ intentions to use generative AI across four societies while also examining the mediating roles of perceived usefulness and general attitudes. Methodology Cross-national surve…
A systematic review of emerging technologies and their impact on adolescent well-being and religious identity
The rapid growth of emerging digital technologies is reshaping youth psychological well-being and religious identity in increasingly plural social contexts. This systematic review examines the impact of deepfakes, gaming, the metaverse, virtual reality, and chat applications on youth well-being, with particular attention to religion as both a protective factor and a target of digital harm. A PRISMA 2020-guided systematic review was conducted usin…
The dual impact of virtual reality: Examining the addictive potential and therapeutic applications of immersive media in the metaverse
The emergence of the metaverse – envisioned as a hyperreal virtual universe enabling boundless human interaction – has the potential to revolutionize our conception of media. This transformation could alter society as we know it. This paper identifies addictive features of social media, including immersion, interactivity, real-time access, and personalization. These features are examined within the context of virtual reality through a literature …
Towards a societal AI alignment benchmark for evaluating human–machine value convergence
As general-purpose AI systems become increasingly integrated into society for tasks such as information retrieval, content generation, problem-solving, text analysis, coding, and automation, it is crucial to assess their long-term impact on humans. This research explores sentiment of Large Language Models (LLMs) and humans towards Artificial General Intelligence (AGI). The methodology adopted was a Likert scale survey. Seven LLMs, including GPT-4…
Computer Science (13 works) · Psychology (12 works) · Social media (9 works) · Political science (7 works) · Sociology (7 works) · Artificial Intelligence (6 works) · Ethics and Social Impacts of AI (6 works) · Recommender system (6 works) · Epistemology (5 works) · Law (5 works)