William Marcellino
Biographic Data
| ID | 739823 |
|---|---|
| NAME | William Marcellino |
| GIVEN NAMES | William |
| FAMILY NAME | Marcellino |
| SIGNATURE | MARCELLINO W |
| AFFILIATIONS | RAND Corporation |
| VERIFIED | No |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
Detecting Conspiracy Theories on Social Media: Improving Machine Learning to Detect and Understand Online Conspiracy Theories
Conspiracy theories circulated online contribute to a shift in public discourse away from facts and analysis and can contribute to public harm. Using linguistic and rhetorical theory, RAND researchers conducted a modeling effort to improve machine-learning technology for detecting conspiracy theory language. This report describes the results of that effort and offers recommendations to counter the effects of online conspiracy theories
Counter-Radicalization Bot Research: Using Social Bots to Fight Violent Extremism
The speed of online recruitment for violent extremist organizations has challenged existing efforts to intervene with counter-radicalization, leading to global instability and violence. The U.S. government's counter-radicalization messaging enterprise may benefit from using promising emerging technology tools, particularly bots, to rapidly detect targets of such recruitment efforts and deliver counter-radicalization content to them.
Detecting Malign or Subversive Information Efforts over Social Media: Scalable Analytics for Early Warning
The authors examine scalable analytics to detect malign or subversive information efforts, using the 2018 World Cup as a case study. The report has operational relevance to the U.S. government. It may benefit both researchers interested in going beyond post hoc recognition of malign or subversive information campaigns to in-time detection and social media companies interested in preventing their platforms from being co-opted by malign actors.
Human-machine detection of online-based malign information
As social media is increasingly being used as a primary source for news online, there is a rising threat from the spread of malign and false information.In this context, RAND Europe developed a method to detect the malign use of information online for the UK Ministry of Defence's Defence and Security Accelerator
Will to Fight: Returning to the Human Fundamentals of War
This brief argues for the importance of improving our understanding of what influences will to fight, and it describes two models for doing so: one for analyzing a military unit's will to fight, and one for analyzing a nation's will to fight
Russian Social Media Influence: Understanding Russian Propaganda in Eastern Europe
Russia employs a sophisticated social media campaign against former Soviet states that includes news tweets, nonattributed comments on web pages, troll and bot social media accounts, and fake hashtag and Twitter campaigns. Nowhere is this threat more tangible than in Ukraine. Researchers analyzed social media data and conducted interviews with regional and security experts to understand the critical ingredients to countering this campaign
Measuring the Popular Resonance of Daesh’s Propoganda
We describe an innovative approach to social media analysis, combining corpus linguists and statistical methods to measure the resonance of Daesh's propaganda to a sample population (Eqypt). The findings from this research effort demonstrate that: (1) Daesh's messaging is measurable and distinct from other Salafi groups, such as the Egyptian Muslim Brotherhood; (2) while Daesh’s messaging generally do not resonate with Egyptians, its uptake incre…
I Don’t Think I Would Have Recovered: A Personal and Sociocultural Study of Resilience among US Marines
Ethnographic research among US Marines shows resilience is in their practices, not biology. Empirical evidence supports our claim that a personal-social understanding of resilience has superior explanatory power and plausibility over mechanistic and reductive frameworks that treat resilience as automated functions of human biopsychological systems. Marines dynamically pursue their values in context, and this resilience can only be defined in loca…
Talk like a Marine: USMC linguistic acculturation and civil-military argument
This study examines the relationship between US Marine discourse and civil-military public argument. A computer-aided semantic analysis of public record speech from senior Marine officers shows a style of cohesion, marked by future-oriented, inclusive, highly certain language. An appraisal theory discourse analysis of interviews with US Marines conducted during an ethnography of communication shows their talk argues discursively for cohesion. Thi…
Dell H. Hymes: An intellectual sketch
We are all saddened by the death of Dell Hymes. Hymes was one of the leading figures in linguistic anthropology and sociolinguistics, a pioneer who took the field in many new directions. These include the study of
Shadows to Walk: Ursula Le Guin's Transgressions in Utopia
Will to Fight: Returning to the Human Fundamentals of War
This brief argues for the importance of improving our understanding of what influences will to fight, and it describes two models for doing so: one for analyzing a military unit's will to fight, and one for analyzing a nation's will to fight
Measuring the Popular Resonance of Daesh’s Propoganda
We describe an innovative approach to social media analysis, combining corpus linguists and statistical methods to measure the resonance of Daesh's propaganda to a sample population (Eqypt). The findings from this research effort demonstrate that: (1) Daesh's messaging is measurable and distinct from other Salafi groups, such as the Egyptian Muslim Brotherhood; (2) while Daesh’s messaging generally do not resonate with Egyptians, its uptake incre…
I Don’t Think I Would Have Recovered: A Personal and Sociocultural Study of Resilience among US Marines
Ethnographic research among US Marines shows resilience is in their practices, not biology. Empirical evidence supports our claim that a personal-social understanding of resilience has superior explanatory power and plausibility over mechanistic and reductive frameworks that treat resilience as automated functions of human biopsychological systems. Marines dynamically pursue their values in context, and this resilience can only be defined in loca…
Dell H. Hymes: An intellectual sketch
We are all saddened by the death of Dell Hymes. Hymes was one of the leading figures in linguistic anthropology and sociolinguistics, a pioneer who took the field in many new directions. These include the study of
Talk like a Marine: USMC linguistic acculturation and civil-military argument
This study examines the relationship between US Marine discourse and civil-military public argument. A computer-aided semantic analysis of public record speech from senior Marine officers shows a style of cohesion, marked by future-oriented, inclusive, highly certain language. An appraisal theory discourse analysis of interviews with US Marines conducted during an ethnography of communication shows their talk argues discursively for cohesion. Thi…
Shadows to Walk: Ursula Le Guin's Transgressions in Utopia
Dell H. Hymes: An intellectual sketch
We are all saddened by the death of Dell Hymes. Hymes was one of the leading figures in linguistic anthropology and sociolinguistics, a pioneer who took the field in many new directions. These include the study of
Talk like a Marine: USMC linguistic acculturation and civil-military argument
This study examines the relationship between US Marine discourse and civil-military public argument. A computer-aided semantic analysis of public record speech from senior Marine officers shows a style of cohesion, marked by future-oriented, inclusive, highly certain language. An appraisal theory discourse analysis of interviews with US Marines conducted during an ethnography of communication shows their talk argues discursively for cohesion. Thi…
I Don’t Think I Would Have Recovered: A Personal and Sociocultural Study of Resilience among US Marines
Ethnographic research among US Marines shows resilience is in their practices, not biology. Empirical evidence supports our claim that a personal-social understanding of resilience has superior explanatory power and plausibility over mechanistic and reductive frameworks that treat resilience as automated functions of human biopsychological systems. Marines dynamically pursue their values in context, and this resilience can only be defined in loca…
Measuring the Popular Resonance of Daesh’s Propoganda
We describe an innovative approach to social media analysis, combining corpus linguists and statistical methods to measure the resonance of Daesh's propaganda to a sample population (Eqypt). The findings from this research effort demonstrate that: (1) Daesh's messaging is measurable and distinct from other Salafi groups, such as the Egyptian Muslim Brotherhood; (2) while Daesh’s messaging generally do not resonate with Egyptians, its uptake incre…
Russian Social Media Influence: Understanding Russian Propaganda in Eastern Europe
Russia employs a sophisticated social media campaign against former Soviet states that includes news tweets, nonattributed comments on web pages, troll and bot social media accounts, and fake hashtag and Twitter campaigns. Nowhere is this threat more tangible than in Ukraine. Researchers analyzed social media data and conducted interviews with regional and security experts to understand the critical ingredients to countering this campaign
Will to Fight: Returning to the Human Fundamentals of War
This brief argues for the importance of improving our understanding of what influences will to fight, and it describes two models for doing so: one for analyzing a military unit's will to fight, and one for analyzing a nation's will to fight
Counter-Radicalization Bot Research: Using Social Bots to Fight Violent Extremism
The speed of online recruitment for violent extremist organizations has challenged existing efforts to intervene with counter-radicalization, leading to global instability and violence. The U.S. government's counter-radicalization messaging enterprise may benefit from using promising emerging technology tools, particularly bots, to rapidly detect targets of such recruitment efforts and deliver counter-radicalization content to them.
Detecting Malign or Subversive Information Efforts over Social Media: Scalable Analytics for Early Warning
The authors examine scalable analytics to detect malign or subversive information efforts, using the 2018 World Cup as a case study. The report has operational relevance to the U.S. government. It may benefit both researchers interested in going beyond post hoc recognition of malign or subversive information campaigns to in-time detection and social media companies interested in preventing their platforms from being co-opted by malign actors.
Human-machine detection of online-based malign information
As social media is increasingly being used as a primary source for news online, there is a rising threat from the spread of malign and false information.In this context, RAND Europe developed a method to detect the malign use of information online for the UK Ministry of Defence's Defence and Security Accelerator
Detecting Conspiracy Theories on Social Media: Improving Machine Learning to Detect and Understand Online Conspiracy Theories
Conspiracy theories circulated online contribute to a shift in public discourse away from facts and analysis and can contribute to public harm. Using linguistic and rhetorical theory, RAND researchers conducted a modeling effort to improve machine-learning technology for detecting conspiracy theory language. This report describes the results of that effort and offers recommendations to counter the effects of online conspiracy theories
Computer Science (7 works) · Political science (7 works) · Sociology (6 works) · Misinformation and Its Impacts (4 works) · Psychology (4 works) · Social media (4 works) · Computer security (3 works) · Internet privacy (3 works) · Law (3 works) · World Wide Web (3 works)