Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, (...) we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks. (shrink)

An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences Causal inference encompasses the tools that allow social scientists to determine what causes what. Economists--who generally can't run controlled experiments to test and validate their hypotheses--apply these tools to observational data to make connections. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied, whether the impact (or lack thereof) of increases in the minimum (...) wage on employment, the effects of early childhood education on incarceration later in life, or the introduction of malaria nets in developing regions on economic growth. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and Stata programming languages. - -. (shrink)

In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half the (...) accounts engaging with this topic are pro-vaccine, while the other half are con-vaccine. We also show that these two camps rarely engage with one another, and that the con-vaccine camp has greater epistemic reach and receptivity than the pro-vaccine camp. In light of these findings, we question whether testimonial networks as they are currently constituted on popular fora such as Twitter are living up to their promise of delivering the wisdom of crowds. We conclude by pointing to directions for further research in digital social epistemology. (shrink)

Background Flourishing and belonging are key concepts for the wellbeing of staff and the success of a profession. Alienation and anomie are distinct types of psycho-social ills which inhibit flourishing and belonging. A better understanding of these may offer hope in preventing many negative work endpoints, including burnout and intention to leave. Objectives To systematically review and narratively synthesise alienation and/or anomie in pharmacists across the globe, reviewing all types of methodological designs, published in peer-reviewed journals. Methods We identified published (...) peer-reviewed research through searching eight electronic databases (MEDLINE, Embase, PsycINFO, CINAHL, Cochrane Library, Web of Science – Core Collection, Scopus, and Google Scholar) and extensive hand/citation searching. Two independent reviewers identified and critiqued eligible studies, extracted data, and synthesised the findings. The synthesis evaluated the focuses, causes, associated factors, and/or consequences of alienation and/or anomie and aligned these to six deductive themes from alienation theory: care; values; meaning; recognition; autonomy; and shared responsibility. Results Searches identified 886 papers, with 47 included in the final results. From the synthesis, ten key causes of alienation and/or anomie were identified; 1) Changing Professional Identity, 2) Reimbursement Models & Corporatisation, 3) Focus on Medicines Rather than People, 4) Misunderstanding & Deprofessionalisation, 5) Environments & Culture, 6) Suboptimal Societal Mandate, 7) Roles Misaligned with Aspirations, 8) Systematic Underutilisation, 9) Lack of Professional Agency, and 10) Value Conflict. From the evidence, there was high confidence that inhibitions of care, values, recognition, and/or autonomy (four of the six deductive themes) were associated with alienation and/or anomie. Conclusion Alienation and/or anomie are present across many countries and regions. This paper helps us understand the aetiology of this complex psycho-social syndrome, a necessary first step in creating an inclusive profession where all pharmacists can flourish. Future research needs to trial new interventions targeted at correcting this professional malady. (shrink)

There are at least a few plausible grounds for our use of the term Beta in our title, notwithstanding that there is a key departure, in our framework, from classical Beta Existential Graphs. The situation, in brief, is as follows.The reader accustomed to Peirce’s graphical development of quantificational logic may, if desired, continue to think of formulas being written on a “sheet of assertion.” We retain the “cut” notation for negation and continue to represent conjunction simply by juxtaposition of diagrams. (...) However, on the side of departure, we dispense with the sometimes problematic “lines of identity” of classical Beta and instead represent a quantification by a.. (shrink)