Training and pre-decisional bias in a multiattribute decision task. 'Formaci??n y sesgo pre-decisional en una tarea de decisi??n multiatributiva'

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Bias in the Social Web

Abstract A frequent assumption in Social Media is that its open nature leads to a representative view of the world. In this talk we want to consider bias occurring in the Social Web. We will consider a case study of liquid feedback, a direct democracy platform of the German pirate party as well as models of (non-)discriminating systems. As a conclusion of this talk we stipulate the need of Social Media systems to bias their working according to social norms and to publish the bias they introduce. Speaker Biography: Prof Steffen Staab Steffen studied in Erlangen (Germany), Philadelphia (USA) and Freiburg (Germany) computer science and computational linguistics. Afterwards he worked as researcher at Uni. Stuttgart/Fraunhofer and Univ. Karlsruhe, before he became professor in Koblenz (Germany). Since March 2015 he also holds a chair for Web and Computer Science at Univ. of Southampton sharing his time between here and Koblenz. In his research career he has managed to avoid almost all good advice that he now gives to his team members. Such advise includes focusing on research (vs. company) or concentrating on only one or two research areas (vs. considering ontologies, semantic web, social web, data engineering, text mining, peer-to-peer, multimedia, HCI, services, software modelling and programming and some more). Though, actually, improving how we understand and use text and data is a good common denominator for a lot of Steffen's professional activities.

Provisional coverage for independent workers

The study examines how, from the traditional work of the independent artisan, we have moved to autonomous work integrated within networks of specialized businesses. This modality is owed not only to the manner in which labor is organized today, to government stimuli, to actions of multilaterals, but also to unemployment. With the purpose of humanizing independent work and rationalizing business costs, an intermediate category of autonomous worker has been created; the semi-dependent who moves between legal freedom and economic independence. The administration, for its part, focuses on broadening social coverage, not always developed for bureaucratic reasons, which is connected to the low density of contributions from the autonomous workers. The challenge put forth is that of provisional coverage for the independents, which is possible whenever citizens participate to resolve social inequality, resulting from the lack of job opportunities, low purchasing power and educational level. 

Media bias and central bank response. Evidence from the nominal exchange rate behavior in Colombia

Since 1991 Colombia has had a market-determined Peso - US Dollar Nominal Exchange Rate (NER), after more than 20 years of controlled and multiple exchange rates. The behavior (revaluation / devaluation) of the NER is constantly reported in news, editorials and op-eds of major newspapers of the nation with particular attention to revaluation. The uneven reporting of revaluation episodes can be explained by the existence of an interest group particulary affected by revaluation, looking to increase awareness and sympathy for help from public institutions. Using the number of news and op-eds from a major Colombian newspaper, it is shown that there is an over-reporting of revaluation episodes in contrast to devaluation ones. Secondly, using text analysis upon the content of the news, it is also shown that the words devaluation and revaluation are far apart in the distribution of words within the news; and revaluation is highly correlated with words related to: public institutions, exporters and the need of assistance. Finally it is also shown that the probability of the central bank buying US dollars to lessen revaluation effects increases with the number of news; even though the central bank allegedly intervenes in the exchange rate market only to tame volatility or accumulate international reserves.

Movimientos sociales su construcción narrativa desde los nuevos medios: los Indignados bogotanos en Twitter

Se analiza la relación entre movimientos sociales y nuevos medios en Colombia, preguntando en particular por las posibilidades narrativas que tienen los movimientos sociales en el nuevo espacio comunicativo abierto por internet. Para ello, se lleva a cabo un estudio descriptivo del relato elaborado en la red social Twitter por activistas virtuales del movimiento de indignación surgido en Bogotá tras la destitución del alcalde mayor, Gustavo Petro, a finales de 2013. Se encontró que Twitter fue un espacio esencialmente de disputa. El relato del movimiento fue construido en permanente contrapunteo no solo con las informaciones de los medios de comunicación tradicionales y las intervenciones de los líderes políticos, sino también con expresiones ciudadanas rivales, que se movilizaron paralelamente en la misma red social en un ejercicio de contestación. Esta investigación emplea como marco analítico la “autocomunicación de masas” propuesta por Manuel Castells.

Reporting verbs and bias in the press. 'Los verbos informativos y la parcialidad en la prensa'.

Se describe la forma en que la prensa demuestra sutilmente las preferencias de los periodistas. Dependiendo de la fuente de las palabras, los periodistas emplean verbos diferentes, guiando así a los lectores para que adopten posiciones en pro o en contra de esa fuente. El artículo emplea un corpus de la prensa británica para mostrar el perfil de las fuentes favorecidas por el uso de los verbos.

The effects of ageing on self-reported aggression measures are partly explained by response bias

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Biased representation of disturbance rates in the roadside sampling frame in boreal forests: implications for monitoring design

The North American Breeding Bird Survey (BBS) is the principal source of data to inform researchers about the status of and trend for boreal forest birds. Unfortunately, little BBS coverage is available in the boreal forest, where increasing concern over the status of species breeding there has increased interest in northward expansion of the BBS. However, high disturbance rates in the boreal forest may complicate roadside monitoring. If the roadside sampling frame does not capture variation in disturbance rates because of either road placement or the use of roads for resource extraction, biased trend estimates might result. In this study, we examined roadside bias in the proportional representation of habitat disturbance via spatial data on forest “loss,” forest fires, and anthropogenic disturbance. In each of 455 BBS routes, the area disturbed within multiple buffers away from the road was calculated and compared against the area disturbed in degree blocks and BBS strata. We found a nonlinear relationship between bias and distance from the road, suggesting forest loss and forest fires were underrepresented below 75 and 100 m, respectively. In contrast, anthropogenic disturbance was overrepresented at distances below 500 m and underrepresented thereafter. After accounting for distance from road, BBS routes were reasonably representative of the degree blocks they were within, with only a few strata showing biased representation. In general, anthropogenic disturbance is overrepresented in southern strata, and forest fires are underrepresented in almost all strata. Similar biases exist when comparing the entire road network and the subset sampled by BBS routes against the amount of disturbance within BBS strata; however, the magnitude of biases differed. Based on our results, we recommend that spatial stratification and rotating panel designs be used to spread limited BBS and off-road sampling effort in an unbiased fashion and that new BBS routes be established where sufficient road coverage exists.

Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data

In the continuing debate over the impact of genetically modified (GM) crops on farmers of developing countries, it is important to accurately measure magnitudes such as farm-level yield gains from GM crop adoption. Yet most farm-level studies in the literature do not control for farmer self-selection, a potentially important source of bias in such estimates. We use farm-level panel data from Indian cotton farmers to investigate the yield effect of GM insect-resistant cotton. We explicitly take into account the fact that the choice of crop variety is an endogenous variable which might lead to bias from self-selection. A production function is estimated using a fixed-effects model to control for selection bias. Our results show that efficient farmers adopt Bacillus thuringiensis (Bt) cotton at a higher rate than their less efficient peers. This suggests that cross-sectional estimates of the yield effect of Bt cotton, which do not control for self-selection effects, are likely to be biased upwards. However, after controlling for selection bias, we still find that there is a significant positive yield effect from adoption of Bt cotton that more than offsets the additional cost of Bt seed.