Comparing Events Coverage in Online News and Social Media: The Case of Climate Change

Kdd12 tutorial-inf-part-i

Kdd12 tutorial-inf-part-ii

This presentation describes our work presented at the 10th International Conference on Information Systems on Crisis Response and Management (ISCRAM) in Baden-Baden, Germany. The work shows the importance of microblogging websites such as Twitter, and huge number of informative messages that can contribute to situational awareness at the time of disasters. Specifically, the work shows the classification, and information extractions of those valuable, actionable informative messages that people post during emergencies.

Extracting Information Nuggets from Disaster-Related Messages in Social Media

Muhammad Imran

What to Expect When the Unexpected Happens: Social Media Communications Acros...

Fairness-Aware Data Mining

Crisis Computing

Slides presented at WikiSym 2012. This paper presents a large-scale analysis of emotions in conversations among Wikipedia editors. Our focus is on the emotions expressed by editors in talk pages, measured by using the Affective Norms for English Words (ANEW). We find evidence that to a large extent women tend to participate in discussions with a more positive tone, and that administrators are more positive than non-administrators. Surprisingly, female non-administrators tend to behave like administrators in many aspects. We observe that replies are on average more positive than the comments they reply to, preventing many discussions from spiralling down into conflict. We also find evidence of emotional homophily: editors having similar emotional styles are more likely to interact with each other. Our findings offer novel insights into the emotional dimension of interactions in peer-production communities, and contribute to debates on issues such as the flattening of editor growth and the gender gap.

Emotions and dialogue in a peer-production community: the case of Wikipedia

David Laniado

Kdd12 tutorial-inf-part-iii

Given the growth of social media and rapid evolution of Web of Data, we have unprecedented opportunities to improve crisis response by extracting social signals, creating spatio-temporal mappings, performing analytics on social and Web of Data, and supporting a variety of applications. Such applications can help provide situational awareness during an emergency, improve preparedness, and assist during the rebuilding/recovery phase of a disaster. Data mining can provide valuable insights to support emergency responders and other stakeholders during crisis. However, there are a number of challenges and existing computing technology may not work in all cases. Therefore, our objective here is to present the characterization of such data mining tasks, and challenges that need further research attention for leveraging social media and Web of Data to assist crisis response coordination.

SIAM SDM2014 tutorial - Social Media and Web of Data to Assist Crisis Respons...

Artificial Intelligence Institute at UofSC

Social Media Mining and Retrieval

Discrimination Discovery

En vedette (12)

Kdd12 tutorial-inf-part-iv

Kdd12 tutorial-inf-part-i

Kdd12 tutorial-inf-part-ii

Extracting Information Nuggets from Disaster-Related Messages in Social Media

What to Expect When the Unexpected Happens: Social Media Communications Acros...

Fairness-Aware Data Mining

Crisis Computing

Emotions and dialogue in a peer-production community: the case of Wikipedia

Kdd12 tutorial-inf-part-iii

SIAM SDM2014 tutorial - Social Media and Web of Data to Assist Crisis Respons...

Social Media Mining and Retrieval

Discrimination Discovery

Plus de Carlos Castillo (ChaTo)

Finding High Quality Content in Social Media

When no clicks are good news

Socia Media and Digital Volunteering in Disaster Management @ DSEM 2017

Detecting Algorithmic Bias (keynote at DIR 2016)

Big Crisis Data for ISPC

Databeers: Big Crisis Data

Observational studies in social media

Natural experiments

Content-based link prediction

Link prediction

Recommender Systems

Graph Partitioning and Spectral Methods

Finding Dense Subgraphs

Graph Evolution Models

Link-Based Ranking

Text Indexing / Inverted Indices

Indexing

Text Summarization

Hierarchical Clustering

K-Means Algorithm

Article in The Times of Israel by Andy Blumenthal: This is not about free speech but about a takeover of America. These vile terrorist supporters are using our very Constitution against us as they falsely cry Islamophobia and free speech, all the while impeding, threatening, and committing acts of violence against students, citizens, and an orderly democracy. It is time for Americans to stop being complacent or fooled by their terrorist talking points and rhetoric of hate, racism, and Communist ideology. In the face of this evil, we are finally seeing Patriots emerge, proudly carrying and defending the American flag, singing the Star-Spangled Banner, and boldly chanting USA!

Plus de Carlos Castillo (ChaTo) (20)

Finding High Quality Content in Social Media

When no clicks are good news

Socia Media and Digital Volunteering in Disaster Management @ DSEM 2017

Detecting Algorithmic Bias (keynote at DIR 2016)

Big Crisis Data for ISPC

Databeers: Big Crisis Data

Observational studies in social media

Natural experiments

Content-based link prediction

Link prediction

Recommender Systems

Graph Partitioning and Spectral Methods

Finding Dense Subgraphs

Graph Evolution Models

Link-Based Ranking

Text Indexing / Inverted Indices

Indexing

Text Summarization

Hierarchical Clustering

K-Means Algorithm

Dernier

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America Is the Target; Israel Is the Front Line _ Andy Blumenthal _ The Blogs...

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Transformative Leadership: N Chandrababu Naidu and TDP's Vision for Innovatio...

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This article aims to demonstrate that the Lula government is faced with two major challenges in its effort to promote Brazil's economic and social development. The first challenge, of an economic nature, is represented by the obstacles that exist with the spending cap policy, despite the flexibility provided by the fiscal framework and the existence of an independent Central Bank, which make the Brazilian government unable to coordinate its fiscal and monetary policies, make public investments in the expansion of the economy and obtain macroeconomic stability and, the second challenge, of a political nature, is represented by the obstacles existing in the National Congress due to the fact that it does not have a majority in parliament, which prevents the federal government from putting its national developmental project into practice and fully meet social demands. For Brazil's progressive forces to re-elect President Lula in the 2026 presidential elections and obtain a parliamentary majority in the National Congress committed to political, economic and social advances, the Lula government will have to be successful on the economic front, promoting the expansion of the economy, increasing significantly generating jobs and income, keeping inflation under control and meeting the maximum social demands that benefit, above all, the country's underserved populations. Brazil's progressive forces need to commit, starting from the 2024 municipal elections, towards to elect the maximum number of mayors and councilors committed to Brazil's political, economic and social advances. These are the conditions to prevent, in 2026, right-wing extremists from regaining the Presidency of the Republic, expanding their participation in state governments and the National Congress and putting their nefarious anti-social and anti-national project into practice.

THE OBSTACLES THAT IMPEDE THE DEVELOPMENT OF BRAZIL IN THE CONTEMPORARY ERA A...

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