Artificial Intelligence for Disaster Response

   No
   Twitter

   2013

   Citizens to Authorities
   

   Unknown
   Yes
   
   
   
   

   Yes
   
   
   
   
   

   Yes
   
   
   
   
   

   Yes
   Yes
   

   Yes
   
   English, Arabic
    

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Created: 31 August 2021
Last edited: 6 December 2022

Artificial Intelligence for Disaster Response

Website

AIDR (Artificial Intelligence for Disaster Response) is a free and open-source software that automatically collects and classifies tweets that are posted during humanitarian crises. There are far too much data produced via social media during crisis situations for humans to manage them on their own. In addition, the data are too rich and complex for machines to successfully process them. AIDR combines the best of both worlds by combining human and machine intelligence.

Note: This description is based on content provided by the technology's website.

Launch Year

2013

Provider

Qatar Computing Research Institute
Qatar

Pricing

Unknown

User Interface Languages

English, Arabic

Supported Platforms

Crisis Communication Matrix (explanation)

Citizens to Authorities

Disaster Management Phase

Functions

Search & Monitor

Advanced search features Advanced search features are filters that help users find exact content by narrowing the scope of a search query and eliminating irrelevant information. They include choosing specific words or phrases, selecting search types, and using Boolean Operators.

Event monitoring Monitor events (e.g. disasters or other events like sports matches or festivals etc...) in social media

Event notification Create and configure notifications for events (e.g notifications about spikes in activity)

Hashtag monitoring Continuously monitor and receive information on specific hashtags

Hashtag search Hashtag search allows for tracking and analyzing social media posts with specific hashtags.

Keyword monitoring Continuously monitor and receive information on specific keywords

Keyword search Keyword search is the process of finding and categorizing specific words or phrases within a larger set of data.

Post & Schedule

Content library A content library is a storage site for different types of (reusable) digital assets, including templates, excerpts, and audio and video clips.

Post time optimization Post time optimization is about finding the best times to post on social media to engage with the audience, using personalized algorithms and performance metrics.

Posting content Post content on social media

Scheduling content Schedule posting to social media at a specific date/time

Analysis

Image analysis Analyse digital images to extract meaningful information including tasks such as removing noise, counting objects, isolate regions and objects of interest.

Sentiment analysis Analyse the sentiment (emotional tone) behind messages to identify (changes in) public opinion.

Text analysis Analyse human-written text using natural language processing and machine learning to extract meaningful insights, and classify, sort, and organize the information for further analysis.

Topic analysis Analyse topics present in user-generated data by analyzing word frequency, co-occurrence, and semantic similarity.

Trend analysis Trend analysis is a method used to understand and describe predictions about future trends by monitoring and scanning certain early indicators and looking for influential developments.

Video analysis Analyse videos to extract metadata from video content, such as identifying objects, events, or areas of interest.

Metrics

Audience metrics Show metrics about your (target) audience that goes beyond your direct followers, e.g. users reading your posts based on recommendation algorithms

Competitor metrics Show metrics about your competitors (e.g. compare different profiles)

Follower metrics Show metrics of your followers or subscribers (e.g. number of followers, engagement rate, and demographics)

Network metrics Show metrics of different social networks to assess the performance (e.g. user engagement, growth rate, and number of active users)

Post metrics Show metrics about posts to assess the performance (e.g., number of likes, number of comments, reached users)

Profile or Site metrics Show metrics of profiles/sites to assess the performance (e.g. number of followers, page views, and unique visitors)

Report

Clustering/Aggregation Cluster or aggregate collected data

Customizable reports

Filtering, sorting & searching Filter, sort and search through collected data

PDF export Export a report as a PDF document

Predefined reports Provide predefined templates for creating reports

Visualization options Visualize collected data in different ways, (e.g. in different charts)

Collaboration

Approval workflows Create processes for approving content before posting

Inbox workflow Create workflows for automatically handling incoming messages

Multiuser Create multiple user accounts for your organisation

Permission management Configure custom permissions per account

Interoperability

API support Access the tool through an Application Programming Interface

Data export Export data for further processing (e.g. as CSV file)

Third party tool integration Integrate or connect with other third-party applications, e.g., to login with your existing organisation accounts.

Meta

GDPR compliant The tool adheres to the European General Data Protection Regulation for the processing of personal data, e.g. through the provision of a data processing amendment.

Historical data access Access historical or archived data for a longer period, e.g. the last two months.

Multiple accounts per platform Manage multiple profiles per social media platform

White Label Integrate the tool with custom branding or styling

Linked to

• Guidelines
• Verification Handbook: An Ultimate Guideline on Digital Age Sourcing for Emergency Coverage
• Use cases
None. See all Use Cases.