Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.
Social Network Analysis of Disinformation/Influence Operations and Bots Cross-Platforms on Amber Heard.
Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, TikTok, Tumblr for 8 Social Media Platforms.
We're Worldwide Independent Researchers with over 20 data analysts, scientists, and observers analyzing this data for over a year. Research and development is ongoing, and this public operation spanning for years continues. We invite researchers, an ethical public, and students to study this public case example.
This is the most detailed public analysis of a disinformation operation and the most voluminous yet - showing the impact of Category 6 influence, globally affecting the public, businesses, nonprofits, reporters, witnesses, social connections, well-being, and entities beyond the victim and human rights activist Amber Heard.
This dynamic project is in-progress, prepared for review, and ready to be built upon.
Our Study creates Precedents and Foundations to help victims of cyberabuse, bots, domestic abuse, coercive control, crime, hostile environments, and Disinformation Operations to Improve Lives.
We want to save lives and help partners create systems to help online - e.g., specialized and accurate rescue, quality custom studies, data analysis, Social Network Analysis, forensics, research, situation awareness, data science projects, prevention, and rescue/public safety technologies - with focus on the victim primarily and her environment.
Use for Timeline Correlations to Risks, Preliminary Effects, and Origins
Compliments Generation on Amber Heard based on Jason Momoa
https://github.com/semiosis/prompts/blob/master/prompts/compliment-generation-based-on-a-celebrity-1.prompt
If you're a humanitarian, researcher, social enterprise, organization, student, or academic helping female victims of abuse, coercive control, domestic abuse, crime, bots, operations, violence, harassment, or hostile environments - we welcome collaboration with you.
Our studies and data can be used for Social Network Analysis, Data Analysis, machine learning, Natural Language Processing, artificial intelligence, Data Science labeling, anti-abuse, rescue projects, anti-crime, timelines, OSINT, simulations, and monitoring systems to help other victims and their lives.
Since this data is high volume about domestic abuse and gender, with an actress/model and film industry element, it's highly relevant for classification and data science projects on those topics.
Please contact us for collaboration or if with questions on obtaining more data and code.
Although it's abuse of process, coercive control is becoming illegal in more countries and states/provinces worldwide. Harrassment is illegal.
To this degree, severity, and volume of intimidation, witness tampering and extortion is already illegal.
All collaborators, researchers, and observers are required to sign, acknowledge, agree to "Do No Harm" agreements. If you are one of the victims, businesses, nonprofits, or entities listed in this study and want to collaborate with us, please contact us.
We make this study and data fully open to Public Research. We do not include the full code, however, we make data open on data repositories to protect the individual in this study, to make a long-lasting impact for learning in the scientific world, and to prevent harmful operations. As a precedent, other researchers and students should use this GitHub and study as a basis for their own social network analysis projects.
We draw attention to this project months before in-person appearances for safety.
On GitHub:
This Independent Study is open for Public Research, scientific learning, and archiving.
Full Data is on Kaggle, Google, Archives, and research data repositories.
Across-Platforms Analysis:
Analysis is in-progress across-platforms, going beyond any previous public studies.
The Academic API was used for Retweets and InformationTracer for CrowdTangle API.
Origins, Risks, Situation, and Private Sector Operations:
"Disinformation in the Private Sector: The Price of Influence"
There have been victims of disinformation, intimidation, witness tampering, crime, and influence operations in the Private Sector for decades. Operations can mirror coercive control strategies of multiple types of abuse. This open-source study can be used to help others by creating awareness, warning, and guides without needing to start from scratch.
Worldwide Data Scientists, Researchers in Cyber Intelligence, PhDs, Data Analysts, Artificial Intelligence Researchers, and a former Google Research Intern collected and analyzed data. We use the scientific method of testing.
We welcome Researchers to work with this Data on Amber Heard to create Blueprints on how Bots and Disinformation/Influence Operations work.
We are continuing analysis and data collections, including creating technologies for systems on coercive control.
E.g., simulations/monte carlos with multi-agent modeling of patterns of coercive control from victims' experiences shown in media - examples are Hannah Clarke and others. Data analysis connecting timelines of documentation is encouraged for new systems.
“Since the fate of the world is non-existence, Since You Exist, Be Merry.” - Persian Mathematician Omar Khayyam - explained by Amber Heard.
If interested in citing our research project in your studies, publication, journal, database, media outlet, or article, please provide a link to this GitHub repository with its title and contact us for collaboration.
Researchers ethically did this study independently with hopes to save a life and to create knowledge that can help others who need protections from operations, abuse, violence, and bots.
We encourage you to build upon our studies and analysis for your own projects.