Modeling opinion misperception and the emergence of silence in online social system.

In the last decades an increasing deal of research has investigated the phenomenon of opinion misperception in human communities and, more recently, in social media. Opinion misperception is the wrong evaluation by community's members of the real distribution of opinions or beliefs about a given topic. In this work we explore the mechanisms giving rise to opinion misperception in social media groups, which are larger than physical ones and have peculiar topological features.

Disgust as a transdiagnostic index of mental illness: A narrative review of clinical populations.

Disgust is a basic emotion of rejection, providing an ancestral defensive mechanism against illness. Based on research that documents altered experiences of disgust across several psychopathological conditions, we conducted a narrative review to address the hypothesis that altered disgust may serve as a transdiagnostic index of mental illness. Our synthesis of the literature from past decades suggests that, compared to healthy populations, patients with mental disorders exhibit abnormal processing of disgust in at least one of the analyzed dimensions.

Grounding co-writing: An analysis of the theoretical basis of a new approach in mental health care.

This contribution aims to highlight the theoretical and epistemological premises of the co-writing experience, a practice where a clinician and a patient are mutually engaged in jointly or collaboratively writing a narrative related to the patient's experience. Unlike a typical set of therapeutic techniques, co-writing is based on sharing perspectives and meanings about the experience of crisis, recovery, and the therapeutic process. The paper identifies and briefly describes four non-clinical epistemological paradigms on which it is grounded: ethnography, values-based practice, narrative care, and phenomenology.

Gossip and competitive altruism support cooperation in a Public Good game.

When there is an opportunity to gain a positive reputation, individuals are more willing to sacrifice their immediate self-interest. Partner choice creates opportunities for competitive altruism, i.e.

Evolutionary advantages of turning points in human cooperative behaviour.

Cooperation is crucial to overcome some of the most pressing social challenges of our times, such as the spreading of infectious diseases, corruption and environmental conservation. Yet, how cooperation emerges and persists is still a puzzle for social scientists. Since human cooperation is individually costly, cooperative attitudes should have been eliminated by natural selection in favour of selfishness.

Educational Robotics to Foster and Assess Social Relations in Students' Groups.

Robotics has gained, in recent years, a significant role in educational processes that take place in formal, non-formal, and informal contexts, mainly in the subjects related to STEM (science, technology, engineering, and mathematics). Indeed, educational robotics (ER) can be fruitfully applied also to soft skills, as it allows promoting social links between students, if it is proposed as a group activity. Working in a group to solve a problem or to accomplish a task in the robotics field allows fostering new relations and overcoming the constraints of the established links associated to the school context.

Peer effects on compliance with extortive requests.

We conduct laboratory experiments to study peer effects on compliance with extortive requests. To this aim, we use an "extortion game" with multiple victims. In agreement with our hypothesis, our results show that when the information on peers' behavior is available, compliance with appropriative requests is triggered by conformism among victims rather than by punishment.

Lying on networks: The role of structure and topology in promoting honesty.

Lies can have a negating impact on governments, companies, and the society as a whole. Understanding the dynamics of lying is therefore of crucial importance across different fields of research. While lying has been studied before in well-mixed populations, it is a fact that real interactions are rarely well-mixed.

The evolution of lying in well-mixed populations.

Lies can have profoundly negative consequences for individuals, groups and even for societies. Understanding how lying evolves and when it proliferates is therefore of significant importance for our personal and societal well-being. To that effect, we here study the sender-receiver game in well-mixed populations with methods of statistical physics.

Humans best judge how much to cooperate when facing hard problems in large groups.

We report the results of a game-theoretic experiment with human players who solve problems of increasing complexity by cooperating in groups of increasing size. Our experimental environment is set up to make it complicated for players to use rational calculation for making the cooperative decisions. This environment is directly translated into a computer simulation, from which we extract the collaboration strategy that leads to the maximal attainable score.

Q2Stress: A database for multiple cues to stress assignment in Italian.

In languages where the position of lexical stress within a word is not predictable from print, readers rely on distributional information extracted from the lexicon in order to assign stress. Lexical databases are thus especially important for researchers willing to address stress assignment in those languages. Here we present Q2Stress, a new database aimed to fill the lack of such a resource for Italian.

Evolution of gossip-based indirect reciprocity on a bipartite network.

Cooperation can be supported by indirect reciprocity via reputation. Thanks to gossip, reputations are built and circulated and humans can identify defectors and ostracise them. However, the evolutionary stability of gossip is allegedly undermined by the fact that it is more error-prone that direct observation, whereas ostracism could be ineffective if the partner selection mechanism is not robust.

Counter-Punishment, Communication, and Cooperation among Partners.

We study how communication affects cooperation in an experimental public goods environment with punishment and counter-punishment opportunities. Participants interacted over 30 rounds in fixed groups with fixed identifiers that allowed them to trace other group members' behavior over time. The two dimensions of communication we study are asking for a specific contribution level and having to express oneself when choosing to counter-punish.

"Willing to Pay?" Tax Compliance in Britain and Italy: An Experimental Analysis.

As shown by the recent crisis, tax evasion poses a significant problem for countries such as Greece, Spain and Italy. While these societies certainly possess weaker fiscal institutions as compared to other EU members, might broader cultural differences between northern and southern Europe also help to explain citizens' (un)willingness to pay their taxes? To address this question, we conduct laboratory experiments in the UK and Italy, two countries which straddle this North-South divide. Our design allows us to examine citizens' willingness to contribute to public goods via taxes while holding institutions constant.

Modeling crowdsourcing as collective problem solving.

Crowdsourcing is a process of accumulating the ideas, thoughts or information from many independent participants, with aim to find the best solution for a given challenge. Modern information technologies allow for massive number of subjects to be involved in a more or less spontaneous way. Still, the full potentials of crowdsourcing are yet to be reached.

Square bananas, blue horses: the relative weight of shape and color in concept recognition and representation.

The present study investigates the role that shape and color play in the representation of animate (i.e., animals) and inanimate manipulable entities (i.

Time devours things: how impulsivity and time affect temporal decisions in pathological gamblers.

Impulsivity is associated with several psychiatric disorders in which the loss of control of a specific behavior determines the syndrome itself. One particularly interesting population characterized by reported high impulsivity and problematic decision-making are those diagnosed with pathological gambling. However the association between impulsivity and decision making in pathological gambling has been only partially confirmed until now.

Social imitation versus strategic choice, or consensus versus cooperation, in the networked Prisoner's Dilemma.

The interplay of social and strategic motivations in human interactions is a largely unexplored topic in collective social phenomena. Whether individuals' decisions are taken in a purely strategic basis or due to social pressure without a rational background crucially influences the model outcome. Here we study a networked Prisoner's Dilemma in which decisions are made either based on the replication of the most successful neighbor's strategy (unconditional imitation) or by pure social imitation following an update rule inspired by the voter model.

To play or not to play: a personal dilemma in pathological gambling.

Research has shown that healthy people would rather avoid losses than gamble for even higher gains. On the other hand, research on pathological gamblers (PGs) demonstrates that PGs are more impaired than non-pathological gamblers in choice under risk and uncertainty. Here, we investigate loss aversion by using a rigorous and well-established paradigm from the field of economics, in conjunction with personality traits, by using self-report measures for PGs under clinical treatment.

Punish and voice: punishment enhances cooperation when combined with norm-signalling.

Material punishment has been suggested to play a key role in sustaining human cooperation. Experimental findings, however, show that inflicting mere material costs does not always increase cooperation and may even have detrimental effects. Indeed, ethnographic evidence suggests that the most typical punishing strategies in human ecologies (e.

Coping with medical polysemy in the semantic web: the role of ontologies.

Polysemy is the linguistic phenomenon by which a term has more than one meaning. It is not a negligible issue in information management, since an effective and unambiguous sharing of the semantic content of data among different databases or knowledge repositories is needed. The paper illustrates a case of polysemy (concerning inflammation), and puts it within the framework provided by the DOLCE+ foundational ontology.

Language-related brain activity revealed by independent component analysis.

Objective: When an individual engages in a cognitive task, a multitude of diverse processes are activated in his/her brain and it is reasonable to assume that multiple brain sources are simultaneously active at any one time. Magnetoencephalographic (MEG) data recorded in such circumstances provide a picture of spatial distribution and time course of the sum of the magnetic fields generated by all these sources. Thus, the experimenter faces the challenge of separating the multiple contributions to the total recorded signal before attempting a localization of their sources and studying their functional roles.

An ontological approach to evidence-based medicine and meta-analysis.

The "evidence-based medicine" (EBM) paradigm is centered on the concept of "best evidence" and clinical studies based on this approach are more likely to be considered by physicians in their practice. In this paper we describe an ontology representing the concepts involved in evidence-based medicine and meta-analysis and show how an ontological approach can be applied both for revisiting EBM conceptual foundations and for allowing a more effective knowledge-based information retrieval in literature.

Agent-based modeling for understanding social intelligence.

The advantages of agent-based modeling for a general theory of intelligence at the individual and social level are emphasized over other existing approaches mainly relying on rationality theories. As was pointed out during the National Academy of Sciences Sackler Colloquium session "Implications of Agent-Based Modeling for Understanding Human Rationality and Learning," held in October 2001, properties of social intelligent agents include adaptability and learning capacity, as well as the capacity to produce and employ artifacts and manipulate symbols.