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Small Ideas for ICRC
The document discusses the evolving landscape of communication, emphasizing the shift from traditional media to citizen-driven platforms and the importance of open data in crisis response. It highlights challenges such as trust, misinformation, and the impact of technology on information dissemination. Additionally, it calls for a nuanced understanding of the political context and ethical considerations in crowdsourcing and information accessibility.
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Small Ideas for ICRC
- 1. Small ideas forICRC Sanjana Hattotuwa ICT4Peace Foundation,TED Fellow
- 2. what’s new • Ubiquityof two way communications • Addressable peoples, even those who IDPs or refugees • Both news generation and dissemination leverages new media • Disintermediated models vs. traditional media model • Citizens as producers • Low resolution content broadcast on high definition media
- 3. what’s new • Sous-veillance(observing from underneath, anchored to human security) in place of, or in addition to, surveillance (often from centralised loci, anchored to national security) • Sous-veillance is crowd based intelligence, generally open data (though analysis can be bounded). Surveillance ranges from sig int and psy ops to information espionage, almost always bounded. • Important to understand Arab Spring, and situational awareness in sudden onset disasters
- 4. Focus on process,not just spikes Narrow band over time adds richness, full spectrum adds context Local language(s) Culture Local actors Diaspora Hagiography and myth Identity and power Partisan politics Regional power blocs Inequity Demographics (Youth) Civic media Verbal storytelling
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- 7. open data ingovernment
- 8. open data ingovernment
- 9. open data byNGOs
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- 12. bundling social media,adding value through curation http://www.bundlr.com & http://www.storify.com
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- 16. Some enduring challenges Tweetsfrom ICCM 2010
- 17. challenges • Concept offailing forward missing. Everyone parading what worked, but more imp to know - what failed, why? • Heard first cursory mention of ethics amidst overwhelmingly technocratic perspectives. Good. Need to flesh out. • No recognition of (geo) politics and US strategic interests in use & availability of tech. Compare Haiti, Pakistan & Myanmar in '08 • A bigger disaster than Haiti, Pakistan had comparably little of this tech, volunteerism and focus. Why?
- 18. challenges • Surprisingly everyoneseems to believe crowdsourcing is good, and is only used for good. Context, content, creator, consumer absent • At risk of sounding Rumsfeldian, why don't we know what we should know? Core datasets vital for community resilience and response • Trust is mutable, relative, contextual, locally defined, gendered, framed by identity, inter alia. • Violence as a result of knowledge creation.
- 19. challenges • Impartial, accuratecoverage still vital, increasingly hard to ascertain • Torrent of information. Trickle of knowledge. • Veracity hard to determine • Pace of technology development hard to keep pace with
- 20. • Nature ofviolence, partisan bias, citizenship, governance structures, public institutions heavily influence crowdsourcing. • Crowdsourced HR or election violations mapping with volunteers from perpetrator party/tribe/ethnicity? Proceed with caution • Volunteerism undergirding stand-by crowdsourcing good, but what about CPE's, where personal bias can deeply influence curation? • Related to last tweet, volunteerism works better for sudden onset natural disasters, which are also mediagenic enduring challenges with crisismapping and crowdsourcing
- 21. how and whodo we trust? abduction of a gay girl of damascus. or so we thought. Tom MacMaster, 40 year old American http://damascusgaygirl.blogspot.com Jelena Lecic, of London
- 22. A lesbian inDamascus And other tall tales Disinformation Misinformation Partial accounts Gaming the system Gender imbalance (e.g. rape reports in DRC) Lack of access leads to challenges in verification Multiple retweets mistaken for authenticity Anonymity online (esp. post-Norwegian terrorist attack) Machine translation / Lack of translation Little or no direct access Trauma Anxiety Fear Persecution Network infiltration and disruption Trust perceptions and authority markers Bias in mainstream media Bias in citizen media
- 23. filter bubbles • "ASquirrel Dying InYour FrontYard May Be More RelevantToYour Interests Right NowThan People Dying In Africa", Mark Zuckerberg, creator of Facebook • Human gatekeepers being replaced by algorithmic gatekeepers. • A new, pervasive, almost invisible, systemic filtering? http://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.html
- 24. filtering to counterfilter bubbles • Ushahidi SwiftRiver | http://ushahidi.com/products/swiftriver-platform http://www.youtube.com/watch?v=Tb0Gs7vtrgk SwiftRiver is a platform that helps people make sense of a lot of information in a short amount of time. In practice, SwiftRiver enables the filtering and verification of real-time data from channels like Twitter, SMS, Email and RSS feeds.
- 25. two key effectsof information overload • Continuous partial attention, Linda Stone, Microsoft, 1997. With continuous partial attention we keep the top level item in focus and scan the periphery in case something more important emerges. • The immediate altruistic response rapidly diminishes over time (Melissa Brown, associate director of research at the Center on Philanthropy at Indiana University, 2010) Our brains release congratulatory hits of dopamine when we engage in selfless behaviour — which we’re moved to do the instant we witness something awful.
- 26. two key effectsof information overload
- 27. two key effectsof information overload
- 28. CiM drivers fromother domains • Music industry (pattern based search, e.g. Pandora’s technical + human indexing), social networking (group collaboration,e.g. LinkedIn, Facebook), social networking search (e.g. Grepling), mobile phone apps (e.g. Guardly), marketing engines (e.g. adaptive persuasion profiling), digital forensics (e.g. hyperspectral imaging with UAVs), ground truth profiling (e.g. UNOSAT images on Sri Lanka) many sourcing for situational awareness (e.g. Microsoft Photosynth), Open Data Initiatives (e.g. British, US govt’s,World Bank), visualisation (e.g. Infomous)
- 29. take home • Thinkbeyond text. Online is not print. • Think beyond prose. Online can be satire, verse, haiku! • Think of photos, audio, video. Rich media tells stories, adds context. • Think of SMS and crowd-sourcing, the audience are the producers. • Don’t suggest you know everything. Use the community to add value to story. • Link to other stories online, they add value.
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