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- 523 Cases in Film, Music, Arts, Hollywood - Supporting Legislative Improvements with Analysis
- 165 CASES in Film/Music/Arts of Victims & Witnesses (Visual & Performing Arts) to Improve & Save Lives - Cases Filed & Lawsuits, Cases Not Litigated & Investigative, Related Cases (Civil, Criminal, Others), Similar Cases to Arts, with Analysis and Perception Fixer Guides - Accessible for Improvements - Golden Era Hollywood "The Business" to Present
- Due Process Issues, Hollywood Fixers Influence on Cases & Society, Organizations, Experts, Witnesses with Documentation - Amici Filings on Appeal of Amber Heard, Official Records, Information - Impacts to Legal Cases, Victims/Witnesses - Methodology of Fixers
- Connecting Public Safety to be victim-centered, pro-active, pre-emptive to save lives at 21st century levels. See https://publicsafetyandvictims.com
.github
PublicSaveMeNowApp
PublicSaveMeNow is an application that connects your mobile phone with the nearest fire emergency service quickly and efficiently. In the event of an incident, SaveMeNow sends data in real time, manually or automatically, to the nearest 1-1-2. See https://www.savemenowapp.com- Guide to Successful Cases for Domestic Abuse Victims - Timelines, Types of Abuse, Evidence, Witnesses, Aid, & Maintaining Networks --- Successful cases, witnesses, chronologies, correlations, examples, discovery, communications, data analysis --- Legal Intern at Chicago University
- 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 part…
SNA-ChangeOrg-AH
PublicSNA-AH-Case-Twitter
PublicTwitter - Social Network Analysis on Amber Heard's Case Example from Data Analysts, Researchers. (Review Coercive Conduct in Traditional Cases) -- Category 6 operation and quantifications of the risks, we started with Twitter, then 6 platforms. Relations are influential to situation awareness, with platforms revealing alerts to Intercommunications- Cross-Platform Social Network Analysis of Links and analysis, monitoring of Petitions/News/Videos on Amber Heard. Checking the domains, links, on social platforms and search engines about a person. Using APIs to get cross-platform link analysis on Change.org, YouTube for 6+ platforms. Using NLP and text extraction. Checking timelines, timestamps…
SNA-AH-Case-YouTube
PublicYouTube - Social Network Analysis on Amber Heard's Case Example from Data Analysts, Researchers, and Technologists on the Disinformation/Influence Operation - E.g., Videos, Accounts, Multiple Accounts with Same Comments, Timings, Like/Dislike Ratios, Coordinated Inauthentic Activity, Cluster Networks (Review Coercive Conduct in Traditional Cases)- Simulations of domestic abuse & coercive control traits from articles, narratives, documents, timelines, media on domestic abuse with multi-agent modeling. Abuse AI Simulation/Predict Training, action-trees
SNA-AH-Case-Reddit
PublicReddit - Social Network Analysis on Amber Heard's Case from Data Analysts, Researchers. Reddit Analysis - (Note: Review Intercommunications initiations, including during surface of cross-platform operations and Compare) - Noticed timelines, peaks with ages of accounts, statistical differences or similarities, natural language processing, reports...- Twitter Deeper Analysis by Researchers, Data Analysts, and Machine Learning on the Disinformation/Influence Operation against Amber Heard. - E.g., on Profiles, Coordinated Inauthentic Activity, Cluster Networks, Harms/Risks, Investigations, and Evidence. --- (People: Remember Intercommunications from Traditional Cases and Film, Music, Arts!!)
- Positive Compliments NLG from Semiosis-GPT-J to create - from prompts on Jason Momoa to Amber Heard and others. - To show Positive, helpful solutions for Natural Language Projects and Relationships aside from Social Network Analysis of disinformation/abuse. General Prompts for Compliments. Demos include 3-way Chat with Filmmaker Christopher Nolan.
positive-nlg-compliments
PublicPositive NLG - Semiosis - Compliments Prompt GPT of NLG: Compliments Generation Based on Jason Momoa and Amber Heard. Semiosis is a free and open-source curation of prompts for OpenAI's GPT-3/Codex, EleutherAI's GPT-j, AlephAlpha's World Model and other language models. 10,000 Compliments and Demos. 3-Way Chat with Director Christopher Nolan.Female_Facial_AI
PublicFacial AI for women to identify name, based initially on actresses and female public figures. For bots to detect on social sites. Detects Name, sentiment/emotion/wellbeing, gender, position, texts, more of person recognized based on images fed to machine.Social-Network-Analysis
PublicSocial Network Analysis to Help Rescue targeted people/women from abuse, exploitation, harassment, disinformation/influence operations, and threats. Uses webscraping, NLU, cyber intelligence, statistics, botnet detection, clustering, and methods. (Compare to Traditional Communications Relating to Clients). Inclusive of female public figure-standardwebscapers-social
PublicWebscrapers for social sites, language, social network analysis, data science information-gathering, automation, public relations information search