Max Pellert
Biographic Data
| ID | 4624950 |
|---|---|
| NAME | Max Pellert |
| GIVEN NAMES | Max |
| FAMILY NAME | Pellert |
| SIGNATURE | PELLERT M |
| AFFILIATIONS | Complexity Science Hub Vienna |
| ORCID | 0000-0002-6557-7607 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Affective, cognitive, and contextual cues in Reddit posts on artificial intelligence
Artificially intelligent technologies have become a common topic in our everyday discussions where arguments about the subject can take different forms from cognitive reasoning to emotional expressions. Utilizing persuasion theories and research on the appeal of content characteristics as the theoretical approach to examine affective–cognitive language, we investigated social media posts on artificial intelligence (AI). We examined Reddit posts f…
AI Psychometrics
We illustrate how standard psychometric inventories originally designed for assessing noncognitive human traits can be repurposed as diagnostic tools to evaluate analogous traits in large language models (LLMs). We start from the assumption that LLMs, inadvertently yet inevitably, acquire psychological traits (metaphorically speaking) from the vast text corpora on which they are trained. Such corpora contain sediments of the personalities, values…
Collective emotions during the Covid-19 outbreak
The COVID-19 pandemic has exposed the world's population to unprecedented health threats and changes to social life. High uncertainty about the novel disease and its social and economic consequences, together with increasingly stringent governmental measures against the spread of the virus, likely elicited strong emotional responses. We analyzed the digital traces of emotional expressions in tweets during 5 weeks after the start of outbreaks in 1…
Emotional talk about robotic technologies on Reddit
This study grounded on computational social sciences and social psychology investigated sentiment and life domains, motivational, and temporal themes in social media discussions about robotic technologies. We retrieved text comments from the Reddit social media platform in March 2019 based on the following six robotic technology concepts: robot ( N = 3,433,554), AI ( N = 2,821,614), automation ( N = 879,092), bot ( N = 21,559,939), intelligent ag…
The individual dynamics of affective expression on social media
Understanding the temporal dynamics of affect is crucial for our understanding human emotions in general. In this study, we empirically test a computational model of affective dynamics by analyzing a large-scale dataset of Facebook status updates using text analysis techniques. Our analyses support the central assumptions of our model: After stimulation, affective states, quantified as valence and arousal, exponentially return to an individual-sp…
Inference to the Best Explanation in Uncertain Evidential Situations
It has recently been argued that a non-Bayesian probabilistic version of inference to the best explanation (IBE*) has a number of advantages over Bayesian conditionalization (Douven [2013]; Douven and Wenmackers [2017]). We investigate how IBE* could be generalized to uncertain evidential situations and formulate a novel updating rule IBE**. We then inspect how it performs in comparison to its Bayesian counterpart, Jeffrey conditionalization (JC)…
Emotional talk about robotic technologies on Reddit
This study grounded on computational social sciences and social psychology investigated sentiment and life domains, motivational, and temporal themes in social media discussions about robotic technologies. We retrieved text comments from the Reddit social media platform in March 2019 based on the following six robotic technology concepts: robot ( N = 3,433,554), AI ( N = 2,821,614), automation ( N = 879,092), bot ( N = 21,559,939), intelligent ag…
Inference to the Best Explanation in Uncertain Evidential Situations
It has recently been argued that a non-Bayesian probabilistic version of inference to the best explanation (IBE*) has a number of advantages over Bayesian conditionalization (Douven [2013]; Douven and Wenmackers [2017]). We investigate how IBE* could be generalized to uncertain evidential situations and formulate a novel updating rule IBE**. We then inspect how it performs in comparison to its Bayesian counterpart, Jeffrey conditionalization (JC)…
The individual dynamics of affective expression on social media
Understanding the temporal dynamics of affect is crucial for our understanding human emotions in general. In this study, we empirically test a computational model of affective dynamics by analyzing a large-scale dataset of Facebook status updates using text analysis techniques. Our analyses support the central assumptions of our model: After stimulation, affective states, quantified as valence and arousal, exponentially return to an individual-sp…
Inference to the Best Explanation in Uncertain Evidential Situations
It has recently been argued that a non-Bayesian probabilistic version of inference to the best explanation (IBE*) has a number of advantages over Bayesian conditionalization (Douven [2013]; Douven and Wenmackers [2017]). We investigate how IBE* could be generalized to uncertain evidential situations and formulate a novel updating rule IBE**. We then inspect how it performs in comparison to its Bayesian counterpart, Jeffrey conditionalization (JC)…
Emotional talk about robotic technologies on Reddit
This study grounded on computational social sciences and social psychology investigated sentiment and life domains, motivational, and temporal themes in social media discussions about robotic technologies. We retrieved text comments from the Reddit social media platform in March 2019 based on the following six robotic technology concepts: robot ( N = 3,433,554), AI ( N = 2,821,614), automation ( N = 879,092), bot ( N = 21,559,939), intelligent ag…
Collective emotions during the Covid-19 outbreak
The COVID-19 pandemic has exposed the world's population to unprecedented health threats and changes to social life. High uncertainty about the novel disease and its social and economic consequences, together with increasingly stringent governmental measures against the spread of the virus, likely elicited strong emotional responses. We analyzed the digital traces of emotional expressions in tweets during 5 weeks after the start of outbreaks in 1…
AI Psychometrics
We illustrate how standard psychometric inventories originally designed for assessing noncognitive human traits can be repurposed as diagnostic tools to evaluate analogous traits in large language models (LLMs). We start from the assumption that LLMs, inadvertently yet inevitably, acquire psychological traits (metaphorically speaking) from the vast text corpora on which they are trained. Such corpora contain sediments of the personalities, values…
Affective, cognitive, and contextual cues in Reddit posts on artificial intelligence
Artificially intelligent technologies have become a common topic in our everyday discussions where arguments about the subject can take different forms from cognitive reasoning to emotional expressions. Utilizing persuasion theories and research on the appeal of content characteristics as the theoretical approach to examine affective–cognitive language, we investigated social media posts on artificial intelligence (AI). We examined Reddit posts f…
Psychology (5 works) · Computer Science (4 works) · Social Psychology (4 works) · Cognitive psychology (3 works) · Misinformation and Its Impacts (3 works) · Social media (3 works) · Hate Speech and Cyberbullying Detection (2 works) · Sentiment Analysis and Opinion Mining (2 works) · Social Psychology (2 works) · Affective Computing (1 work)