Michael Simeone
Biographic Data
| ID | 318141 |
|---|---|
| NAME | Michael Simeone |
| GIVEN NAMES | Michael |
| FAMILY NAME | Simeone |
| SIGNATURE | SIMEONE M |
| AFFILIATIONS | Arizona State University |
| ORCID | 0000-0002-3872-7593 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Network Ripple Effects: How Twitter Deplatforming Flipped Authority Structure and Discourse of the Arizona Election Review Community
Content moderation decisions can have variable impacts on the events and discourses they aim to regulate. This study analyzes Twitter data from before and after the removal of key Arizona Election Audit Twitter accounts in March of 2021. After collecting tweets that refer to the election audit in Arizona in this designated timeframe, a before/after comparison examines the structure of the networks, the volume of the participating population, and …
When does group chat promote cooperation in shared resource governance
When people use shared resources, overextraction can occur. While deliberation tends to mitigate shared resource exploitation problems, the question remains: under what conditions does group chat improve cooperation in shared resource dilemmas? This study analyzes chat and game data from about 1500 rounds of gameplay involving 143 groups across 4 resource types using Sentiment Analysis and Structural Topic Model. We find that, despite their funda…
Evolutionary biology as a frontier for research on misinformation
The field of misinformation studies has experienced a boom of scholarship in recent years. Buoyed by the emergence of information operations surrounding the 2016 election and the rise of so-called “fake news,” researchers hailing from fields ranging from philosophy to computer science have taken up the challenge of detecting, analyzing, and theorizing false and misleading information online. In an attempt to understand the spread of misinformatio…
Convergence research as transdisciplinary knowledge coproduction within cases of effective collaborative governance of social-ecological systems
Successful collaborative governance (CG) of social-ecological systems (SES) involves multiple stakeholders convening iteratively over the long term to reach a commonly held vision. This often involves building knowledge for social learning processes induced to come to collective decisions about managing complex systems in flux. Because of the complexity of any SES in the Anthropocene, this coproduced knowledge is frequently transdisciplinary, usi…
Viral Health Misinformation From Geocities to Covid-19
Although often discussed in the public discourse as a phenomenon newly exacerbated by social media, the use of the Internet to spread health-related misinformation is as old as the Internet itself. Techniques, networks, and narratives from prior novel health outbreaks such as HIV or Ebola continue to circulate and are repurposed in the current COVID-19 pandemic. We examine and compare two case studies of health misinformation — HIV mis/disinforma…
From advocacy to acceptance: Social media discussions of protected bike lane installations
Many North American cities are building bicycling infrastructure. Lively discussions on social media, where people passionately support or reject bicycling infrastructure projects, provide a unique data set on attitudes towards bicycling infrastructure. Our goal is to analyse social media posts in Edmonton and Victoria, Canada as new bike infrastructure was implemented to understand the thematic and social elements of the conversation and how the…
The Imped Model: Detecting Low-Quality Information in Social Media
This article introduces a model for detecting low-quality information we refer to as the Index of Measured-diversity, Partisan-certainty, Ephemerality, and Domain (IMPED). The model purports that low-quality information is characterized by ephemerality, as opposed to quality content that is designed for permanence. The IMPED model leverages linguistic and temporal patterns in the content of social media messages and linked webpages to estimate a …
Triangulation of History Using Textual Data
This essay describes essential considerations and select methods in computational text analysis for use in the study of history, specifically the history of science and biomedicine. It explores specific approaches that can be used for understanding conceptual change over time in a large corpus of documents. By way of example, using a corpus of 27,977 articles collected on the microbiome, the essay studies the general microbiome discourse for the …
Resilient Observation: Toward Transformational Research among Environmental Humanities and Sciences
Resilient ObservationToward Transformational Research among Environmental Humanities and Sciences Michael Simeone (bio) It is accepted that wicked problems require the collective attention of many research disciplines at the same time. This consensus is for good reason; these are challenges comprised of interlocking research problems and conflicting perspectives, the kind of challenges facing the collective health of the planet, such as climate c…
Towards a Poetics of Strangeness: Experiments in Classifying Language of Technological Novelty
The trajectory of science fiction since World War II has been defined by its rela-tionship with technoscientific imaginaries. In the Golden Age of the 1930s and 1940s, writers like Isaac Asimov and Robert Heinlein dreamed of the robots and
Digging into data using new collaborative infrastructures supporting humanities-based computer science research
This paper explores infrastructure supporting humanities–computer science research in large–scale image data by asking: Why is collaboration a requirement for work within digital humanities projects? What is required for fruitful interdisciplinary collaboration? What are the technical and intellectual approaches to constructing such an infrastructure? What are the challenges associated with digital humanities collaborative work? We reveal that di…
Why We Will Not Be Posthuman: Gadgets as a Technocultural Form
This essay examines the use of consumer electronics as an epistemology of human memory and experienced mental states in the 2003 film Paycheck , an adaptation of Philip K. Dick's 1952 short story of the same name, as well as other popular media. Informed by my research in the history of the constitutive metaphors of cognitive science in the twentieth century, I conclude from cinematographic analysis that consumer electronics provide the metaphori…
From advocacy to acceptance: Social media discussions of protected bike lane installations
Many North American cities are building bicycling infrastructure. Lively discussions on social media, where people passionately support or reject bicycling infrastructure projects, provide a unique data set on attitudes towards bicycling infrastructure. Our goal is to analyse social media posts in Edmonton and Victoria, Canada as new bike infrastructure was implemented to understand the thematic and social elements of the conversation and how the…
The Imped Model: Detecting Low-Quality Information in Social Media
This article introduces a model for detecting low-quality information we refer to as the Index of Measured-diversity, Partisan-certainty, Ephemerality, and Domain (IMPED). The model purports that low-quality information is characterized by ephemerality, as opposed to quality content that is designed for permanence. The IMPED model leverages linguistic and temporal patterns in the content of social media messages and linked webpages to estimate a …
Triangulation of History Using Textual Data
This essay describes essential considerations and select methods in computational text analysis for use in the study of history, specifically the history of science and biomedicine. It explores specific approaches that can be used for understanding conceptual change over time in a large corpus of documents. By way of example, using a corpus of 27,977 articles collected on the microbiome, the essay studies the general microbiome discourse for the …
Digging into data using new collaborative infrastructures supporting humanities-based computer science research
This paper explores infrastructure supporting humanities–computer science research in large–scale image data by asking: Why is collaboration a requirement for work within digital humanities projects? What is required for fruitful interdisciplinary collaboration? What are the technical and intellectual approaches to constructing such an infrastructure? What are the challenges associated with digital humanities collaborative work? We reveal that di…
Why We Will Not Be Posthuman: Gadgets as a Technocultural Form
This essay examines the use of consumer electronics as an epistemology of human memory and experienced mental states in the 2003 film Paycheck , an adaptation of Philip K. Dick's 1952 short story of the same name, as well as other popular media. Informed by my research in the history of the constitutive metaphors of cognitive science in the twentieth century, I conclude from cinematographic analysis that consumer electronics provide the metaphori…
Towards a Poetics of Strangeness: Experiments in Classifying Language of Technological Novelty
The trajectory of science fiction since World War II has been defined by its rela-tionship with technoscientific imaginaries. In the Golden Age of the 1930s and 1940s, writers like Isaac Asimov and Robert Heinlein dreamed of the robots and
Resilient Observation: Toward Transformational Research among Environmental Humanities and Sciences
Resilient ObservationToward Transformational Research among Environmental Humanities and Sciences Michael Simeone (bio) It is accepted that wicked problems require the collective attention of many research disciplines at the same time. This consensus is for good reason; these are challenges comprised of interlocking research problems and conflicting perspectives, the kind of challenges facing the collective health of the planet, such as climate c…
Triangulation of History Using Textual Data
This essay describes essential considerations and select methods in computational text analysis for use in the study of history, specifically the history of science and biomedicine. It explores specific approaches that can be used for understanding conceptual change over time in a large corpus of documents. By way of example, using a corpus of 27,977 articles collected on the microbiome, the essay studies the general microbiome discourse for the …
From advocacy to acceptance: Social media discussions of protected bike lane installations
Many North American cities are building bicycling infrastructure. Lively discussions on social media, where people passionately support or reject bicycling infrastructure projects, provide a unique data set on attitudes towards bicycling infrastructure. Our goal is to analyse social media posts in Edmonton and Victoria, Canada as new bike infrastructure was implemented to understand the thematic and social elements of the conversation and how the…
The Imped Model: Detecting Low-Quality Information in Social Media
This article introduces a model for detecting low-quality information we refer to as the Index of Measured-diversity, Partisan-certainty, Ephemerality, and Domain (IMPED). The model purports that low-quality information is characterized by ephemerality, as opposed to quality content that is designed for permanence. The IMPED model leverages linguistic and temporal patterns in the content of social media messages and linked webpages to estimate a …
Viral Health Misinformation From Geocities to Covid-19
Although often discussed in the public discourse as a phenomenon newly exacerbated by social media, the use of the Internet to spread health-related misinformation is as old as the Internet itself. Techniques, networks, and narratives from prior novel health outbreaks such as HIV or Ebola continue to circulate and are repurposed in the current COVID-19 pandemic. We examine and compare two case studies of health misinformation — HIV mis/disinforma…
When does group chat promote cooperation in shared resource governance
When people use shared resources, overextraction can occur. While deliberation tends to mitigate shared resource exploitation problems, the question remains: under what conditions does group chat improve cooperation in shared resource dilemmas? This study analyzes chat and game data from about 1500 rounds of gameplay involving 143 groups across 4 resource types using Sentiment Analysis and Structural Topic Model. We find that, despite their funda…
Evolutionary biology as a frontier for research on misinformation
The field of misinformation studies has experienced a boom of scholarship in recent years. Buoyed by the emergence of information operations surrounding the 2016 election and the rise of so-called “fake news,” researchers hailing from fields ranging from philosophy to computer science have taken up the challenge of detecting, analyzing, and theorizing false and misleading information online. In an attempt to understand the spread of misinformatio…
Convergence research as transdisciplinary knowledge coproduction within cases of effective collaborative governance of social-ecological systems
Successful collaborative governance (CG) of social-ecological systems (SES) involves multiple stakeholders convening iteratively over the long term to reach a commonly held vision. This often involves building knowledge for social learning processes induced to come to collective decisions about managing complex systems in flux. Because of the complexity of any SES in the Anthropocene, this coproduced knowledge is frequently transdisciplinary, usi…
Network Ripple Effects: How Twitter Deplatforming Flipped Authority Structure and Discourse of the Arizona Election Review Community
Content moderation decisions can have variable impacts on the events and discourses they aim to regulate. This study analyzes Twitter data from before and after the removal of key Arizona Election Audit Twitter accounts in March of 2021. After collecting tweets that refer to the election audit in Arizona in this designated timeframe, a before/after comparison examines the structure of the networks, the volume of the participating population, and …
Computer Science (7 works) · Political science (7 works) · Sociology (7 works) · Public relations (6 works) · Data science (4 works) · Epistemology (4 works) · Law (4 works) · Philosophy (4 works) · Social media (4 works) · Art (3 works)