Who's that lady? - Applying open source intelligence in a history context.

J Dane, C Verhoef

December 2024 Endeavour

Synopsis of Social media discussions

The discussion highlights the publication's usefulness in understanding how open source techniques uncover historical mysteries, with phrases like 'Very instructive' and personal reflections on ethical issues, demonstrating interest and moderate engagement. The tone suggests appreciation without deep technical analysis, emphasizing the article's educational value.

A
Agreement
 Moderate agreement

The discussion acknowledges the value of the publication, especially in applying open source intelligence in historical research, suggesting a general agreement with its significance.

I
Interest
 High level of interest

The mention of learning from the publication and feeling less guilty about accessing resources like Sci-Hub indicates high curiosity and engagement with the topic.

E
Engagement
 Moderate level of engagement

The post reflects moderate engagement, sharing insights about the methods used and personal reflections, but not delving deeply into technical details.

I
Impact
 Moderate level of impact

The recognition of the publication as instructive and its influence on the user's perspective implies a positive impact, though not transformative on a large scale.

Social Mentions

YouTube

1 Videos

Twitter

1 Posts

Metrics

Video Views

138

Total Likes

4

Extended Reach

667

Social Features

2

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Unveiling Hidden Women in Einstein's 1913 Photo Using Digital Research Techniques

Unveiling Hidden Women in Einstein's 1913 Photo Using Digital Research Techniques

This study employs open source intelligence, AI, and dark web analysis to identify previously unknown women in a 1913 photograph with Albert Einstein, revealing their contributions and the potential of digital tools to uncover overlooked historical figures.

Dr Cameron Jones

December 13, 2024

138 views

  • Jos Engelen
    @asymptoticfrdm (Twitter)

    Who’s that lady? — Applying open source intelligence in a history context, https://t.co/grzmrQbGoY (Dane, Verhoef) includes rev. of ‘Open source intelligence, open src softw., AI, and the Dark Web’. Very instructive and from now on I will no longer feel guilty when using Sci-Hub!
    view full post

    January 20, 2025

    1

Abstract Synopsis

  • A network analysis revealed a group photo of Rebekka Aleida Biegel and two friends with Albert Einstein at a tea party in Zurich, dated June 30, 1913, using advanced techniques like AI and OSINT.
  • Researchers identified the women and a man in the photo, uncovering their significant roles in contributing to Einstein's work on relativity, highlighting their historical importance.
  • The study also solved long-standing mysteries surrounding the photographs, shedding light on a crucial period in scientific history and emphasizing the contributions of often-overlooked women in physics.