With over 60% of the world’s population using different social media platforms, it is not surprising that social networks are a popular and effective way of collecting intelligence in the form of different types of data. Journalists, researchers, police officials, detectives, and business owners are able to figure out a significant amount of information about an individual or company from social media with just a few taps.
This entire process of collecting data from social media is possible because of a process called social media intelligence. SOCMINT, as it’s also known, is itself a type of open-source intelligence (OSINT) and has a variety of tools, technologies, processes, and types under it.
We’ll break down all these key aspects of SOCMINT in detail here to understand what it is and how it works, along with real-world examples and top SOCMINT tools.
What is Social Media Intelligence (SOCMINT)?
The process of collecting, analyzing, and interpreting data from social media platforms to come up with actionable strategies is called social media intelligence, abbreviated as SOCMINT. It should not be confused with conventional social media monitoring that involves analyzing simple metrics like likes or comments.
Instead, SOCMINT is all about extracting detailed information from social media platforms to make data-driven decisions and optimize operations of different businesses as well as investigation bodies.
Uses of SOCMINT
The most important and common usage of SOCMINT is in threat analysis. This involves security agencies using this process to investigate a group or individual suspected of criminal activity. It can be useful to identify a wide range of security risks by tracking suspicious accounts and also analyzing the content’s sentiment to identify potential threats.
Other than security risk analysis and social media threat intelligence, SOCMIT also has significant applications in crisis management. It can help companies improve their branding and also stay ahead of potential negative buzz by tracking public sentiments in real-time.
One of the most popular real-world examples of SOCMINT is the 2021 US Capitol Riot Investigation that involved analyzing and collecting data from social media platforms like Twitter, Instagram, and Parler.
An independent security researcher had archived the platform’s content before it went offline, and it eventually helped the investigators create a GPS-mapped heatmap to see the user’s location during the riot. This is just one large-scale example to demonstrate the power of SOCMINT and how AI is used in social media nowadays.
What Type of Data Can Be Collected in Social Media Intelligence?
A lot of information is available publicly on social media platforms, and all of it can be collected and analyzed with SOCMINT tools. Some data, such as geolocation in metadata, might not necessarily be visible on a social media platform’s screen, but it can still be extracted with a good social media monitoring tool.
Here are some of the most common data points gathered in SOCMINT:
- Detailed demographic profile details of targeted user(s)
- Locations and geotags
- Interaction of users with different groups and posts
- Opinions and views expressed through comments, posts, and likes
- Media content, including videos and photos
- Aggregated data on commonly interacted posts and public comments for real-time sentiment analysis
Differences Between OSINT and SOCMINT
As mentioned before, SOCMINT is a subdiscipline of OSINT, but there are some key differences between SOCMINT vs OSINT you should know to apply the right process in your business.
OSINT, which stands for Open Source Intelligence, is a broad term that involves collecting and analyzing information from all the available public sources. These sources include research papers, academic journals, case studies, news publications, website content, blogs, and social media platforms. The end goal of OSINT is to use the available public information to create actionable strategies to optimize security,a business’s reputation, and general research.
While OSINT does include data from social media platforms, it is not the primary focus. The availability of many different types of social media sites and various social media content types has created space for separate data collection and analysis tools, mechanisms, and processes in the form of SOCMINT.
The following table summarizes the differences between open source intelligence and social media intelligence.
| Features | OSINT | SOCMINT |
|---|---|---|
| Coverage | All available public sources | Only social media platforms |
| Data Types | All major data types, such as text, video, and photos | Social media content, posts, and metadata |
| Usage | Extensive applications in security, business operations, and academia | Focused on analysis of public sentiment, online activities, and real-time security risk analysis |
| Advantage | Extensive data collection results in higher accuracy and widespread applications | Social media intelligence works in real-time to help you make informed decisions as per the latest circumstances |
| Disadvantage | Analyzing and filtering a massive amount of data from public sources can be difficult, inefficient, and resource-heavy | Ethical considerations, as well as strict data protection regulations, can prevent data collection or dilute the accuracy of final results. |
Best Social Media Intelligence Tools and Their Key Features
A number of reliable, effective, and user-friendly SOCMINT tools are available, with many new types also emerging on a regular basis due to the evolving nature of social media platforms. Now that you know about the power of SOCMINT, you probably want to go through this process yourself.
While we won’t be diving into the specific working and installation process of each social media monitoring tool in this article, you can explore some of the best social media intelligence tools by visiting their official GitHub repositories that have all the information you need to use them:
- SpiderFoot
SpiderFoot is a popular SOCMINT tool that integrates data sources with multiple data analysis techniques through 200+ modules. The user-friendly web-based interface of SpiderFoot, developed with Python 3, ensures you can use it through the web as well as the command line.
Some of the key data points you can gather with SpiderFoot are username, email, phone number, IP address, helping you have a comprehensive and cohesive dataset about target users.
- Social Analyzer
Social Analyzer stands out as one of the simplest, yet most powerful, social media monitoring tools that help you find a user’s profile by searching across 1000+ social media platforms. It is possible because the tool uses different techniques, including an HTTPS library and web scraping.
Social Analyzer also has extensive built-in filters that you can use to classify the investigated profiles in different categories, such as cyberbullying, misinformation, grooming, and many others.
- Sherlock
Sherlock is another user-friendly SOCMINT tool that has made its mark among the social media monitoring tools by providing the ability to find users on 400+ social media platforms. You can find the complete list of supported platforms here and see if your targeted sites are in there before using this tool to gather social media intelligence.
- Ostigram
Different subtypes and specific platforms are also emerging within the social media intelligence space. Ostigram is one example of such further classification. It is a powerful SOCMINT tool meant specifically to collect and analyze Instagram data. With just a few commands, you can use Ostigram to gather extensive details about Instagram users, including their address, captions, followers list, likes, phone number, and a lot of other information associated with Instagram accounts.
- Maltego
Unlike the other four SOCMINT tools mentioned above, Maltego is a more comprehensive solution used in both social media intelligence and OSINT. Maltego helps you simplify complex and extensive data insights through its easy-to-use, visual-based interface. More specifically, Maltego supports mapping connections to visually analyze the links between different usernames, emails, domains, and social media presence.
Overall, these are some of the best social media monitoring and intelligence tools. You should always analyze your specific requirements to ensure you get the perfect SOCMINT collection capabilities from the tool of your choice.
Conclusion
Social media intelligence is a highly effective and powerful way of knowing more about social media users and going way beyond traditional metrics tracked by basic social media monitoring tools.
The importance of SOCMINT further becomes clear by understanding the fact that it is not specific to any one niche or type of organization. A small-sized business can use SOCMINT to gather insights into its target customers.
At the same time, a large-scale government agency (like the CIA, FBI, and many others) can and are using social media intelligence techniques for security risk assessments and make data-driven decisions that can have significant ramifications on a huge scale.
These uses and advantages of SOCMINT are expected to grow and become even more apparent with time, as social media platforms are already among the most popular websites. Moreover, the increasing role of AI in social media as well as the general internet, has not only mainstreamed concepts like SOCMINT but also made them necessary to have a competitive edge.
Key takeaways
- Social media intelligence (SOCMINT) is a subtype of open-source intelligence (OSINT).
- SOCMINT involves collecting and analyzing publicly available data from social media platforms to help businesses, researchers, and security agencies gather insights into their targeted users.
- As a subdiscipline of OSINT, social media intelligence is all about data collection from social media platforms only and not any other public source covered by OSINT.
- Demographic profiles, location, and aggregated data from social media posts are some of the key types of data that can be collected as part of SOCMINT.
- A number of SOCMIT tools are available, such as SpiderFoot and Sherlock, that streamlines the social media intelligence processes and help you collect real-time data quickly and effectively.
Frequently Asked Questions
What does SOCMINT stand for?
SOCMINT stands for social media intelligence. It is a process that involves collecting and analyzing information about social media users to make data-driven decisions.
Are SOCMINT and OSINT the same?
No, SOCMINT and OSINT are two different processes. OSINT involves collecting information from all public sources, including social media platforms. SOCMINT, on the other hand, is a subtype of OSINT that focuses only on data collection from social media sites.
Is SOCMINT legal?
Yes, social media intelligence is a legal process. While questions regarding the legality and ethicality of SOCMINT are often raised, it is generally a safe and legal process because it involves collecting information that is already publicly present on social media platforms.
How is AI used in social media?
The role and use of AI in social media is endless nowadays. Users can rely on AI to create social media content, schedule in advance, and also interact with AI chatbots on social media platforms. Similarly, businesses use AI-powered social media monitoring tools and advanced SOCMINT tools to collect data of targeted users and analyze them to make smart decisions.
What are the best social media monitoring tools?
SpiderFoot, Social Analyzer, Sherlock, and Maltego are some of the best social media monitoring tools. But the ultimate choice of the SOCMINT tool is dependent on your specific requirements and goals.
