E S Spiro
Biographic Data
| ID | 17412 |
|---|---|
| NAME | E S Spiro |
| GIVEN NAMES | E S |
| FAMILY NAME | Spiro |
| SIGNATURE | SPIRO E S |
| AFFILIATIONS | University of Washington |
| ORCID | 0000-0002-6792-3390 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 88 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 4 |
Podcasts in the periphery
Legislating Uncertainty
Can state election policies affect the spread of misinformation? This paper studies the role played by ballot processing policies, which determine when ballots can be examined and organized, in the online spread of political misinformation. We present evidence from the 2020 U.S. presidential election cycle linking the spread of misinformation in the aftermath of the election to the uncertainty created by these restrictions. Specifically, using a …
Combining interventions to reduce the spread of viral misinformation
Misinformation online poses a range of threats, from subverting democratic processes to undermining public health measures. Proposed solutions range from encouraging more selective sharing by individuals to removing false content and accounts that create or promote it. Here we provide a framework to evaluate interventions aimed at reducing viral misinformation online both in isolation and when used in combination. We begin by deriving a generativ…
Rejecting Science With Science
The COVID-19 pandemic has been marked by a controversy in the United States over the public health benefits of mask-wearing, especially on social media. Many have contested the scientific consensus that masks are an effective method to prevent and slow the spread of COVID-19 infections, often along explicitly political lines. Here, we investigate specifically how Twitter users engaging in arguments about mask-wearing invoke scientific principles …
Unbiased Sampling of Users from (Online) Activity Data
Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data-data created by a user over the course of their everyday life-to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets that are biased toward highly active users). Here, we introduce a simple method for reweighting activity-b…
Promises and Pitfalls of Using Digital Traces for Demographic Research
The digital traces that we leave online are increasingly fruitful sources of data for social scientists, including those interested in demographic research. The collection and use of digital data also presents numerous statistical, computational, and ethical challenges, motivating the development of new research approaches to address these burgeoning issues. In this article, we argue that researchers with formal training in demography—those who h…
Using Twitter for Demographic and Social Science Research
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users-a key component of much social science research-remains a challenge. This article develops an accurate and reliable data processing approach for social science researche…
The Persistence of Division
As noted by theorists such as Blau, Durkheim, Mayhew, and others, interaction opportunity is a fundamental determinant of social structure. One of the most empirically well established factors influencing interaction opportunity is that of physical distance. The strength of this effect in modern societies, however, has been called into question because of technological advances (the so-called death-of-distance hypothesis). Here, the authors exami…
Spatio-temporal filtering techniques for the detection of disaster-related communication
Thumbs up for privacy
Warning tweets
Serial transmission – the passing on of information from one source to another – is a phenomenon of central interest in the study of informal communication in emergency settings. Microblogging services such as Twitter make it possible to study serial transmission on a large scale and to examine the factors that make retransmission of messages more or less likely. Here, we consider factors predicting serial transmission at the interface of formal …
Extended structures of mediation
Promises and Pitfalls of Using Digital Traces for Demographic Research
The digital traces that we leave online are increasingly fruitful sources of data for social scientists, including those interested in demographic research. The collection and use of digital data also presents numerous statistical, computational, and ethical challenges, motivating the development of new research approaches to address these burgeoning issues. In this article, we argue that researchers with formal training in demography—those who h…
Using Twitter for Demographic and Social Science Research
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users-a key component of much social science research-remains a challenge. This article develops an accurate and reliable data processing approach for social science researche…
The Persistence of Division
As noted by theorists such as Blau, Durkheim, Mayhew, and others, interaction opportunity is a fundamental determinant of social structure. One of the most empirically well established factors influencing interaction opportunity is that of physical distance. The strength of this effect in modern societies, however, has been called into question because of technological advances (the so-called death-of-distance hypothesis). Here, the authors exami…
Combining interventions to reduce the spread of viral misinformation
Misinformation online poses a range of threats, from subverting democratic processes to undermining public health measures. Proposed solutions range from encouraging more selective sharing by individuals to removing false content and accounts that create or promote it. Here we provide a framework to evaluate interventions aimed at reducing viral misinformation online both in isolation and when used in combination. We begin by deriving a generativ…
Thumbs up for privacy
Unbiased Sampling of Users from (Online) Activity Data
Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data-data created by a user over the course of their everyday life-to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets that are biased toward highly active users). Here, we introduce a simple method for reweighting activity-b…
Extended structures of mediation
Warning tweets
Serial transmission – the passing on of information from one source to another – is a phenomenon of central interest in the study of informal communication in emergency settings. Microblogging services such as Twitter make it possible to study serial transmission on a large scale and to examine the factors that make retransmission of messages more or less likely. Here, we consider factors predicting serial transmission at the interface of formal …
The Persistence of Division
As noted by theorists such as Blau, Durkheim, Mayhew, and others, interaction opportunity is a fundamental determinant of social structure. One of the most empirically well established factors influencing interaction opportunity is that of physical distance. The strength of this effect in modern societies, however, has been called into question because of technological advances (the so-called death-of-distance hypothesis). Here, the authors exami…
Spatio-temporal filtering techniques for the detection of disaster-related communication
Thumbs up for privacy
Using Twitter for Demographic and Social Science Research
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users-a key component of much social science research-remains a challenge. This article develops an accurate and reliable data processing approach for social science researche…
Promises and Pitfalls of Using Digital Traces for Demographic Research
The digital traces that we leave online are increasingly fruitful sources of data for social scientists, including those interested in demographic research. The collection and use of digital data also presents numerous statistical, computational, and ethical challenges, motivating the development of new research approaches to address these burgeoning issues. In this article, we argue that researchers with formal training in demography—those who h…
Unbiased Sampling of Users from (Online) Activity Data
Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data-data created by a user over the course of their everyday life-to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets that are biased toward highly active users). Here, we introduce a simple method for reweighting activity-b…
Rejecting Science With Science
The COVID-19 pandemic has been marked by a controversy in the United States over the public health benefits of mask-wearing, especially on social media. Many have contested the scientific consensus that masks are an effective method to prevent and slow the spread of COVID-19 infections, often along explicitly political lines. Here, we investigate specifically how Twitter users engaging in arguments about mask-wearing invoke scientific principles …
Combining interventions to reduce the spread of viral misinformation
Misinformation online poses a range of threats, from subverting democratic processes to undermining public health measures. Proposed solutions range from encouraging more selective sharing by individuals to removing false content and accounts that create or promote it. Here we provide a framework to evaluate interventions aimed at reducing viral misinformation online both in isolation and when used in combination. We begin by deriving a generativ…
Podcasts in the periphery
Legislating Uncertainty
Can state election policies affect the spread of misinformation? This paper studies the role played by ballot processing policies, which determine when ballots can be examined and organized, in the online spread of political misinformation. We present evidence from the 2020 U.S. presidential election cycle linking the spread of misinformation in the aftermath of the election to the uncertainty created by these restrictions. Specifically, using a …
Computer Science (8 works) · Complex Network Analysis Techniques (5 works) · Political science (5 works) · Law (4 works) · Opinion Dynamics and Social Influence (4 works) · Social media (4 works) · Social Media and Politics (4 works) · Sociology (4 works) · Computer security (3 works) · Data science (3 works)