The First International Workshop on NEws and publiC Opinion (NECO)
Co-located with ICWSM '16, Cologne, Germany
17th May 2016
http://neco.io


Computational journalism has been an emerging discipline in recent years. A lot of inspiring data-driven studies on news production and consumption, news audience, news bias, and tools have been published and discussed. Some conferences, such as computation+journalism symposium, have started to offer places for computer scientists and journalists to help each other to discover new research directions.

On the other hands, social media has received a lot of attention from researchers who study public opinion. The data collected from social media is a valuable asset to see what people have in their mind about at the very moment. Election prediction based on Twitter is a good example of such efforts.

In this workshop, we are trying to make this two disciplines meet. How news media formulate public opinion and how public opinion influences on news media are our questions to ask. For this, of course, the parallel efforts on the understanding of news media and public opinion are required first, and then based on the findings, we can look into the interplay between them. As a result, the workshop topics can be categorized into three groups: news, public opinion, and their interplay.

* Theme 1: Data-driven studies on news production and consumption. Theories on media influence have long been studied but in a limited setting mainly due to the lack of the data availability (previous studies heavily depends on survey results). We revisit some of the central questions in the media influence theories and aim to investigate them with large-scale data. Relevant topics are (but not limited): News bias measurement, news coverage analysis, news diffusion analysis, news comment and content analysis, channel characteristics analysis, news story evolution tracking, automatic generation of news headline and text, news audience analysis, and news recommendation.

* Theme 2: Accurate measurement of public opinion. Recently, web logs and/or social media have been used as a mean to capture the public opinion. Yet, it still suffers from the bias (e.g., selection bias, sampling bias, etc.). We open to a new method to contribute for capturing public opinion, and we also seek to debiasing methods when sampling data from social media. The proposed methodology can also be useful for social sensing or nowcasting. Relevant topics are (but not limited): Measuring public opinion through social media, social sensing and nowcasting, Debiasing methods (e.g., re-weighting schemes) for social media data, summarizing and extracting sentiments, and connecting online and offline index.

* Theme 3: Interplay between news and public opinion. By linking news and public opinion, we aim to quantify the impact of each of news article or news story and how it shapes public opinion. We will also discuss what is the practical implication of the research (e.g. for newsroom). Relevant topics are (but not limited): Impact of news on public opinion, influence of public opinion on news, and mapping between news and public opinion.


[Format]
We solicit both full (8-page long) and short (4-page long) research papers that will present original, previously unpublished, research. They must be at most 8- or 4-page long, including figures and references. All papers must follow AAAI formatting guidelines.

Full paper authors will be allowed 25 minutes total (about a 20-minute talk with 5 minutes of questions) to present their work. Short paper authors will be allowed 15 minutes (about a 12-minute talk with 3 minutes of questions) to present their work.


[Key Dates]
* Papers submission: February 27, 2016
* Paper acceptance notification: March 11, 2016
* Final camera-ready paper due: March 17,2016
* NECO Workshops Day: May 17, 2016


[Program Chairs]
* Jisun An, Qatar Computing Research Institute, HBKU
* Haewoon Kwak, Qatar Computing Research Institute, HBKU
* Fabricio Benevenuto, Federal University of Minas Gerais (UFMG)