the audience expecting to be told what is known and what isn’t known about a piece of UGC sourced from social media. With the audience able to see the same footage as the news organizations and others that gather material from the crowd, this level of transparency and accountability is required. Case Study 3.1: Monitoring and Verifying During the Ukrainian Parliamentary Election Anahi Ayala Iacucci is the senior innovation adviser for the Internews Center for Innovation & Learning­1 and the Internews Humanitarian Media Project. Over the past four years, she has worked on the applications of technology and innovation to humanitarian crises, media development, conflict prevention and human rights around the world for organizations like the World Bank, the U.N., NDI and Freedom House, among others. She blogs at anahiayala. com2 and tweets @anahi_ayala3. During the Ukrainian parliamentary elections of fall 2012, Internews Ukraine4, a local NGO supported by the global nonprofit media organization Internews5, ran an election monitoring project called Elect.UA. It used a mix of crowdsourcing, mobile phones, social media, professional electoral monitoring and media monitoring to oversee the electoral campaign, and possible violations of or tampering with the results. The project was built upon a fairly complex structure: 36 journalists around the country reported stories during the electoral campaign and on election day. At the same time, three different electoral monitoring organizations had workers reporting to the same platform using SMS, online forms and emails. Elect.UA also invited Ukrainians to report about their election experience using social media (Twitter and Facebook), mobile technology (SMS and a hotline number), a smartphone app, an online form or email. All information coming from Internews-trained journalists and electoral monitors was automatically tagged as verified, while messages from the crowd were vetted by a team of 16 administrators in Kiev. For the messages coming from the crowd, the admin team set up a verification protocol based on the source of the information: mobile technology, social media, online form or email. 32