User Needs In Open Source Intelligence - Source Excerpt 03 - Transparency, Crowdsourcing, and Verification

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Institutions are actively formalizing this education. The Human Rights Center at UC Berkeley, in collaboration with the Investigative Reporting Program, has established robust graduate-level open-source investigative reporting courses and the Human Rights Investigations Lab.19 These programs integrate rigorous open-source research methods alongside traditional "shoe-leather" reporting, deploying students to examine complex socio-political issues, such as the evolution of heartbeat bills in the anti-abortion movement or uncovering shadow industries fueled by the deportations of Haitian immigrants.19

### **Transparency, Crowdsourcing, and Verification**

Because intelligence obtained through open sources relies on publicly accessible content, the resulting investigations are intrinsically transparent. Human rights organizations actively invite public scrutiny, recognizing that openness fortifies the credibility of their conclusions and renders it exceedingly difficult for malicious actors to dismiss well-documented human rights violations as mere fabrications.17 This transparency serves as an unyielding safeguard against the manipulation of evidence, as any attempt to alter or fabricate data is rapidly exposed by independent verification.17

To process complex, massive data streams, these organizations heavily rely on global crowdsourcing. Decentralized networks of volunteers and global citizens are engaged to verify data through precise geolocation (identifying exactly where an image was captured using landscape analysis) and chronolocation (determining exactly when an event occurred using shadow analysis or weather patterns), translate regional dialects, and provide essential cultural context.17 This collaborative verification process is a defining characteristic of modern digital journalism, transforming fragmented, chaotic digital noise into highly credible, verifiable investigations.17

### **Trauma-Informed Methodologies and Ethical Asymmetries**

A critical, often overlooked requirement in human rights OSINT is the implementation of trauma-informed data collection. Traditional investigative journalism and human rights reporting frequently require victims to recount traumatic experiences multiple times to different authorities, leading to severe psychological distress and retraumatization.17 By analyzing footage or personal accounts that survivors have chosen to share online strictly "on their own terms," investigators can corroborate facts, establish timelines, and verify incidents without subjecting victims to repeated, distressing interviews.17

However, the sector grapples with profound ethical asymmetries regarding the nature of "open" data. Frameworks such as the Berkeley Protocol highlight that identity-based discrimination often leads to severe imbalances in the digital representation of different demographic groups.20 Moreover, much of the data classified as "open source" in human rights investigations originates from highly contested processes, such as illicit recordings, unauthorized data leaks, and the non-consensual circulation of sensitive materials.20

Activist projects, such as the Electronic Frontier Foundation's "Atlas of Surveillance" and the Invisible Institute's "Citizens Police Data Project," aggregate information regarding police surveillance and misconduct into publicly searchable databases, reversing the surveillant gaze to hold institutions accountable.20 Yet, investigators are increasingly critical of legally deferential approaches that blindly assume mere visibility equates to justice or empowerment. In many instances, communities targeted by violence do not wish for information regarding their trauma to circulate freely online, as unauthorized visibility can violate spiritual beliefs, breach privacy, and exacerbate psychological harm.20 Consequently, human rights practitioners demand methodologies that actively confront these structural asymmetries, conducting human rights impact assessments before, during, and after an open-source research project to balance the pursuit of accountability with the fundamental right to privacy.21

## **Academic Rigor, Methodological Transparency, and National Security**

In the academic and scientific research sectors, the primary objectives of utilizing OSINT focus on methodological rigor, precise replicability, and the advancement of verifiable empirical research. As academic institutions increasingly rely on large-scale digital data to study sociological trends, geopolitical polarization, and global security, the demand for standardized, fully auditable frameworks governing data extraction and analysis has intensified exponentially.

### **Verifiability and the TOP 2025 Guidelines**

Academic researchers operate under the strict mandate that empirical claims must be entirely verifiable. To address historical concerns regarding the reproducibility crisis in scientific research, the academic community has widely adopted the Transparency and Openness Promotion (TOP) Guidelines. Updated significantly in 2025, the TOP 2025 framework establishes comprehensive, multi-tiered standards for research verifiability, specifically targeting the use of large datasets common in OSINT.22

| TOP 2025 Research Practice | Level 1: Disclosed | Level 2: Shared and Cited | Level 3: Certified |
| :---- | :---- | :---- | :---- |
| **Study Registration** | Authors disclose whether the study was registered and its precise location. | Researchers formally register the study and cite the registration explicitly. | An independent third party certifies the study was registered promptly per best practices. |
| **Study Protocol** | Authors state definitively if a protocol exists. | Protocol is openly shared in a trusted repository and cited. | Protocol adherence is independently certified by peer reviewers. |
| **Data Transparency** | Authors disclose data availability and any access restrictions. | Raw data is shared in a trusted, persistent repository. | Data is independently verified to successfully reproduce reported results. |
| **Analysis Code Transparency** | Code availability is explicitly disclosed in the methodology. | Analytical code (e.g., Python/R scripts) is shared and cited. | Code execution is independently certified to replicate exact findings. |

Table 1: Key components of the TOP 2025 Guidelines for Research Transparency, dictating the verifiability of academic OSINT.22

For OSINT to be considered valid within peer-reviewed academic contexts, researchers demand software tools and methodologies that support these stringent transparency requirements. The "black box" nature of many highly commercialized OSINT platforms—where proprietary, hidden algorithms dictate data aggregation, sentiment analysis, and pattern recognition—stands in direct, irreconcilable conflict with academic requirements for "Analysis Code Transparency" and open data sharing. Consequently, academic researchers often eschew commercial SaaS platforms, preferring to utilize custom scripting languages, particularly Python and R. They focus on specific, auditable libraries such as BeautifulSoup for transparent web scraping and Pandas for verifiable, reproducible data manipulation.24

### **Security Frameworks and Intelligence Diplomacy**

Simultaneously, academic institutions and government intelligence bureaus face complex security challenges regarding international collaboration and the protection of emerging technologies. Frameworks such as the NIST IR 8484r1 dictate an integrated, risk-balanced approach to safeguard domestic research ecosystems from undue foreign interference.25 This framework includes targeted high-risk collection threat validations and strict Foreign National Associate Researcher checklists to protect the integrity of the U.S. research ecosystem while maintaining the collaborative openness vital to scientific progress.25

At the federal level, the utilization of OSINT has been formalized into national strategy. The U.S. Department of State's Bureau of Intelligence and Research (INR) released its inaugural OSINT Strategy, complementing the broader Intelligence Community OSINT Strategy 2024-2026.26 This strategy views open-source information as an invaluable resource for enriching analytic assessments, driving "intelligence diplomacy," and empowering U.S. diplomats worldwide.26 The focus is on developing sound governance, investing in advanced capabilities, and deepening cooperation with academia and non-governmental entities in a secure, highly responsible manner.26

## **Private Investigations and the Boundaries of Legal Compliance**