Creating a semantic map of sexism worldwide: topic modelling of content from the “Everyday Sexism” project

by taha yasseri 07/10/2015

What are the most common types of sexism globally, and (how) do they relate to each other? Do experiences of sexism change from one country to another?

by taha yasseri 07/10/2015

When barrister Charlotte Proudman recently spoke out regarding a sexist comment that she had received on the professional networking website LinkedIn, hundreds of women praised her actions in highlighting the issue of workplace sexism—and many of them began to tell similar stories of their own. It soon became apparent that Proudman was not alone in experiencing this kind of sexism, a fact further corroborated by Laura Bates of the Everyday Sexism Project, who asserted that workplace harassment is “the most reported kind of incident” on the project’s UK website. Proudman’s experience and Bates’ comments on the number of submissions to her site concerning harassment at work provokes a conversation about the nature of sexism, not only in the UK but also at a global level. We know that since its launch in 2012, the Everyday Sexism Project has received over 100,000 submissions in more than 13 different languages, concerning a variety of topics. But what are these topics? As Bates has stated, in the UK, workplace sexism is the most commonly discussed subject on the website – but is this also the case for the Everyday Sexism sites in France, Japan, or Brazil? What are the most common types of sexism globally, and (how) do they relate to each other? Do experiences of sexism change from one country to another? The multi-lingual reports submitted to the Everyday Sexism project are undoubtedly a gold mine of crowdsourced information with great potential for answering important questions about instances of sexism worldwide, as well as drawing an overall picture of how sexism is experienced in different societies. So far much of the research relating to the Everyday Sexism project has focused on qualitative content analysis, and has been limited to the submissions written in English. Along with Principal Investigators Taha Yasseri and Kathryn Eccles, I will be acting as Research Assistant on a new project funded by the John Fell Oxford University Press…

Ethics

Ethics in Networked Systems Research: ACM SigComm Workshop Report

by Ben Zevenbergen 15/09/2015

Experimentation and research on the Internet require ethical scrutiny in order to give useful feedback to engineers and researchers about the social impact of their work.

by Ben Zevenbergen 15/09/2015

The image shows the paths taken through the Internet to reach a large number of DNS servers in China used in experiments on DNS censorship by Joss Wright and Ning Wang, where they queried blocked domain names across China to discover patterns in where the network filtered DNS requests, and how it responded.

To maintain an open and working Internet, we need to make sense of how the complex and decentralised technical system operates. Research groups, governments, and companies have dedicated teams working on highly technical research and experimentation to make sense of information flows and how these can be affected by new developments, be they intentional or due to unforeseen consequences of decisions made in another domain. These teams, composed of network engineers and computer scientists, therefore analyse Internet data transfers, typically by collecting data from devices of large groups of individuals as well as organisations. The Internet, however, has become a complex and global socio-technical information system that mediates a significant amount of our social or professional activities, relationships, as well as mental processes. Experimentation and research on the Internet therefore require ethical scrutiny in order to give useful feedback to engineers and researchers about the social impact of their work. The organising committee of the Association of Computing Machinery (ACM) SigComm (Signal Communications) conference has regularly encountered paper submissions that can be considered dubious from an ethical point of view. A strong debate on the research ethics of the ACM was sparked by the paper entitled “Encore: Lightweight Measurement of Web Censorship with Cross-Origin Requests,” among others submitted for the 2015 conference. In the study, researchers directed unsuspecting Internet users to test potential censorship systems in their country by directing their browser to specified URLs that could be blocked in their jurisdiction. Concerns were raised about whether this could be considered ‘human subject research’ and whether the unsuspecting users could be harmed as a result of this experiment. Consider, for example, a Chinese citizen continuously requesting the Falun Gong website from their Beijing-based laptop with no knowledge of this occurring whatsoever. As a result of these discussions, the ACM realised that there was no formal procedure or methodology in place to make informed decisions about the ethical dimensions of such…

Governance & Security, Tools

Using Wikipedia as PR is a problem, but our lack of a critical eye is worse

by taha yasseri 04/09/2015

That Wikipedia is used for less-than scrupulously neutral purposes shouldn’t surprise us – our lack of critical eye that’s the real problem.

by taha yasseri 04/09/2015

Reposted from The Conversation. If you heard that a group of people were creating, editing, and maintaining Wikipedia articles related to brands, firms and individuals, you could point out, correctly, that this is the entire point of Wikipedia. It is, after all, the “encyclopedia that anyone can edit”. But a group has been creating and editing articles for money. Wikipedia administrators banned more than 300 suspect accounts involved, but those behind the ring are still unknown. For most Wikipedians, the editors and experts who volunteer their time and effort to develop and maintain the world’s largest encyclopedia for free, this is completely unacceptable. However, what the group was doing was not illegal—although it is prohibited by Wikipedia’s policies—and as it’s extremely hard to detect it’s difficult to stamp out entirely. Conflicts of interest in those editing articles has been part of Wikipedia from the beginning. In the early days, a few of the editors making the most contributions wanted a personal Wikipedia entry, at least as a reward for their contribution to the project. Of course most of these were promptly deleted by the rest of the community for not meeting the notability criteria. As Wikipedia grew and became the number one source of free-to-access information about everything, so Wikipedia entries rose up search engines rankings. Being well-represented on Wikipedia became important for any nation, organisation, firm, political party, entrepreneur, musician, and even scientists. Wikipedians have strived to prohibit self-serving editing, due to the inherent bias that this would introduce. At the same time, “organised” problematic editing developed despite their best efforts. The glossy sheen of public relations The first time I learned of non-Wikipedians taking an organised approach to editing articles I was attending a lecture by an “online reputation manager” in 2012. I didn’t know of her, so I pulled up her Wikipedia entry. It was readily apparent that the article was filled with only positive things. So I did a bit of research about…

Politics & Government

Crowdsourcing for public policy and government

by Jonathan Bright 27/08/2015

The growing interest in crowdsourcing for government and public policy must be understood in the context of the contemporary malaise of politics, which is being felt across the democratic world.

by Jonathan Bright 27/08/2015

If elections were invented today, they would probably be referred to as “crowdsourcing the government.” First coined in a 2006 issue of Wired magazine (Howe, 2006), the term crowdsourcing has come to be applied loosely to a wide variety of situations where ideas, opinions, labor or something else is “sourced” in from a potentially large group of people. Whilst most commonly applied in business contexts, there is an increasing amount of buzz around applying crowdsourcing techniques in government and policy contexts as well (Brabham, 2013). Though there is nothing qualitatively new about involving more people in government and policy processes, digital technologies in principle make it possible to increase the quantity of such involvement dramatically, by lowering the costs of participation (Margetts et al., 2015) and making it possible to tap into people’s free time (Shirky, 2010). This difference in quantity is arguably great enough to obtain a quality of its own. We can thus be justified in using the term “crowdsourcing for public policy and government” to refer to new digitally enabled ways of involving people in any aspect of democratic politics and government, not replacing but rather augmenting more traditional participation routes such as elections and referendums. In this editorial, we will briefly highlight some of the key emerging issues in research on crowdsourcing for public policy and government. Our entry point into the discussion is a collection of research papers first presented at the Internet, Politics & Policy 2014 (IPP2014) conference organised by the Oxford Internet Institute (University of Oxford) and the Policy & Internet journal. The theme of this very successful conference—our third since the founding of the journal—was “crowdsourcing for politics and policy.” Out of almost 80 papers presented at the conference in September last year, 14 of the best have now been published as peer-reviewed articles in this journal, including five in this issue. A further handful of papers from the conference focusing on labor…

Development, Tools

Current alternatives won’t light up Britain’s broadband blackspots

by Anne-marie Oostveen 19/08/2015

Satellites, microwaves, radio towers – how many more options must be tried before the government just shells out for fibre to the home?

by Anne-marie Oostveen 19/08/2015

Reposted from The Conversation. Despite the British government’s boasts of the steady roll-out of superfast broadband to more than four out of five homes and businesses, you needn’t be a statistician to realise that this means one out of five are still unconnected. In fact, the recent story about a farmer who was so incensed by his slow broadband that he built his own 4G mast in a field to replace it shows that for much of the country, little has improved. The government’s Broadband Delivery UK (BDUK) programme claims that it will provide internet access of at least 24 Mbps (megabits per second) to 95% of the country by 2017 through fibre to the cabinet, where fast fibre optic networks connect BT’s exchanges to street cabinets dotted around towns and villages. The final connection to the home comes via traditional (slower) copper cables. Those in rural communities are understandably sceptical of the government’s “huge achievement”, arguing that only a fraction of the properties included in the government’s running total can achieve reasonable broadband speeds, as signals drop off quickly with distance from BT’s street cabinets. Millions of people are still struggling to achieve even basic broadband, and not necessarily just in the remote countryside, but in urban areas such as Redditch, Lancaster and even Pimlico in central London. Four problems to solve This cabinet is a problem, not a solution. mikecattell, CC BY Our research found four recurring problems: connection speeds, latency, contention ratios, and reliability. Getting high-speed ADSL broadband delivered over existing copper cables is not possible in many areas, as the distance from the exchange or the street cabinet is so far that the broadband signal degrades and speeds drop. Minimum speed requirements are rising as the volume of data we use increases, so such slow connections will become more and more frustrating. But speed is not the only limiting factor. Network delay, known as latency, can be as frustrating as it forces the user to wait for…

Economics

Should we love Uber and Airbnb or protest against them?

by admin 30/07/2015

Some theorists suggest that such platforms are making our world more efficient by natural selection. The reality is a little more complicated.

by admin 30/07/2015

How Mexican taxi drivers feel about the sharing economy | YouTube

Reposted from The Conversation. An angry crowd has attacked Uber cars with bars and stones outside Mexico City airport, the latest in a series of worldwide protests against the ride-hailing app. More than 1,000 taxi drivers blocked streets in Rio de Janeiro a few days ago, and the service has been restricted or banned in the likes of France, Germany, Italy and South Korea. Protests have also been staged against Airbnb, the platform for renting short-term accommodation. Neither platform shows any signs of faltering, however. Uber is available in 57 countries and produces hundreds of millions of dollars in revenues. Airbnb is available in more than 190 countries, and boasts more than 1.5 million rooms. Journalists and entrepreneurs have been quick to coin terms that try to capture the social and economic changes associated with such platforms: the sharing economy; the on-demand economy; the peer-to-peer economy; and so on. Each perhaps captures one aspect of the phenomenon, but doesn’t make sense of all its potentials and contradictions, including why some people love it and some would smash it into pieces. Economic sociologists believe markets are always based on an underlying infrastructure that allows people to find out what goods and services are on offer, agree prices and terms, pay, and have a reasonable expectation that the other party will honour the agreement. The oldest example is the personal social network: traders hear what’s on offer through word of mouth and trade only with those they personally know and trust. In the modern world we can do business with strangers, too, because we have developed institutions to make this reliable, like private property, enforceable contracts, standardised weights and measures, and consumer protection. They are part of a long historical continuum, from ancient trade routes with their customs to medieval fairs with codes of conduct to the state-enforced trade laws of the early industrial era. Natural selection Institutional economists and economic historians theorised in the 1980s that these have gradually been evolving towards ever more efficient forms through natural selection. People switch to…

Economics, Governance & Security

Uber and Airbnb make the rules now — but to whose benefit?

by admin 27/07/2015

Outlining a more nuanced theory of institutional change that suggests that platforms’ effects on society will be complex and influence different people in different ways.

by admin 27/07/2015

The "Airbnb Law" was signed by Mayor Ed Lee in October 2014 at San Francisco City Hall, legalising short-term rentals in SF with many conditions. Image of protesters by Kevin Krejci (Flickr).

Ride-hailing app Uber is close to replacing government-licensed taxis in some cities, while Airbnb’s accommodation rental platform has become a serious competitor to government-regulated hotel markets. Many other apps and platforms are trying to do the same in other sectors of the economy. In my previous post, I argued that platforms can be viewed in social science terms as economic institutions that provide infrastructures necessary for markets to thrive. I explained how the natural selection theory of institutional change suggests that people are migrating from state institutions to these new code-based institutions because they provide a more efficient environment for doing business. In this article, I will discuss some of the problems with this theory, and outline a more nuanced theory of institutional change that suggests that platforms’ effects on society will be complex and influence different people in different ways. Economic sociologists like Neil Fligstein have pointed out that not everyone is as free to choose the means through which they conduct their trade. For example, if buyers in a market switch to new institutions, sellers may have little choice but to follow, even if the new institutions leave them worse off than the old ones did. Even if taxi drivers don’t like Uber’s rules, they may find that there is little business to be had outside the platform, and switch anyway. In the end, the choice of institutions can boil down to power. Economists have shown that even a small group of participants with enough market power—like corporate buyers—may be able to force a whole market to tip in favour of particular institutions. Uber offers a special solution for corporate clients, though I don’t know if this has played any part in the platform’s success. Even when everyone participates in an institutional arrangement willingly, we still can’t assume that it will contribute to the social good. Cambridge economic historian Sheilagh Ogilvie has pointed out that an institution that…

Economics, Governance & Security, Politics & Government

Why are citizens migrating to Uber and Airbnb, and what should governments do about it?

by admin 27/07/2015

What if we dug into existing social science theory to see what it has to say about economic transformation and the emergence of markets?

by admin 27/07/2015

Protest for fair taxi laws in Portland; organisers want city leaders to make ride-sharing companies play by the same rules as cabs and Town cars. Image: Aaron Parecki (Flickr).

Cars were smashed and tires burned in France last month in protests against the ride hailing app Uber. Less violent protests have also been staged against Airbnb, a platform for renting short-term accommodation. Despite the protests, neither platform shows any signs of faltering. Uber says it has a million users in France, and is available in 57 countries. Airbnb is available in over 190 countries, and boasts over a million rooms, more than hotel giants like Hilton and Marriott. Policy makers at the highest levels are starting to notice the rise of these and similar platforms. An EU Commission flagship strategy paper notes that “online platforms are playing an ever more central role in social and economic life,” while the Federal Trade Commission recently held a workshop on the topic in Washington. Journalists and entrepreneurs have been quick to coin terms that try to capture the essence of the social and economic changes associated with online platforms: the sharing economy; the on-demand economy; the peer-to-peer economy; and so on. Each perhaps captures one aspect of the phenomenon, but doesn’t go very far in helping us make sense of all its potentials and contradictions, including why some people love it and some would like to smash it into pieces. Instead of starting from the assumption that everything we see today is new and unprecedented, what if we dug into existing social science theory to see what it has to say about economic transformation and the emergence of markets? Economic sociologists are adamant that markets don’t just emerge by themselves: they are always based on some kind of an underlying infrastructure that allows people to find out what goods and services are on offer, agree on prices and terms, pay, and have a reasonable expectation that the other party will honour the agreement. The oldest market infrastructure is the personal social network: traders hear what’s on offer through word of mouth and…

Politics & Government, Social Data Science

How big data is breathing new life into the smart cities concept

by Jonathan Bright 23/07/2015

If all the cars have GPS devices, all the people have mobile phones, and all opinions are expressed on social media, then do we really need the city to be smart at all?

by Jonathan Bright 23/07/2015

“Big data” is a growing area of interest for public policy makers: for example, it was highlighted in UK Chancellor George Osborne’s recent budget speech as a major means of improving efficiency in public service delivery. While big data can apply to government at every level, the majority of innovation is currently being driven by local government, especially cities, who perhaps have greater flexibility and room to experiment and who are constantly on a drive to improve service delivery without increasing budgets. Work on big data for cities is increasingly incorporated under the rubric of “smart cities”. The smart city is an old(ish) idea: give urban policymakers real time information on a whole variety of indicators about their city (from traffic and pollution to park usage and waste bin collection) and they will be able to improve decision making and optimise service delivery. But the initial vision, which mostly centred around adding sensors and RFID tags to objects around the city so that they would be able to communicate, has thus far remained unrealised (big up front investment needs and the requirements of IPv6 are perhaps the most obvious reasons for this). The rise of big data—large, heterogeneous datasets generated by the increasing digitisation of social life—has however breathed new life into the smart cities concept. If all the cars have GPS devices, all the people have mobile phones, and all opinions are expressed on social media, then do we really need the city to be smart at all? Instead, policymakers can simply extract what they need from a sea of data which is already around them. And indeed, data from mobile phone operators has already been used for traffic optimisation, Oyster card data has been used to plan London Underground service interruptions, sewage data has been used to estimate population levels, the examples go on. However, at the moment these examples remain largely anecdotal, driven forward by a few…

Governance & Security

Iris scanners can now identify us from 40 feet away

by Anne-marie Oostveen 21/05/2015

Public anxiety and legal protections currently pose a major challenge to anyone wanting to introduce eye-scanning security technologies.

by Anne-marie Oostveen 21/05/2015

Reposted from The Conversation. Biometric technologies are on the rise. By electronically recording data about individual’s physical attributes such as fingerprints or iris patterns, security and law enforcement services can quickly identify people with a high degree of accuracy. The latest development in this field is the scanning of irises from a distance of up to 40 feet (12 metres) away. Researchers from Carnegie Mellon University in the US demonstrated they were able to use their iris recognition technology to identify drivers from an image of their eye captured from their vehicle’s side mirror. The developers of this technology envisage that, as well as improving security, it will be more convenient for the individuals being identified. By using measurements of physiological characteristics, people no longer need security tokens or cumbersome passwords to identify themselves. However, introducing such technology will come with serious challenges. There are both legal issues and public anxiety around having such sensitive data captured, stored, and accessed. Social resistance We have researched this area by presenting people with potential future scenarios that involved biometrics. We found that, despite the convenience of long-range identification (no queuing in front of scanners), there is a considerable reluctance to accept this technology. On a basic level, people prefer a physical interaction when their biometrics are being read. “I feel negatively about a remote iris scan because I want there to be some kind of interaction between me and this system that’s going to be monitoring me,” said one participant in our research. But another serious concern was that of “function creep”, whereby people slowly become accustomed to security and surveillance technologies because they are introduced gradually. This means the public may eventually be faced with much greater use of these systems than they would initially agree to. For example, implementing biometric identification in smart phones and other everyday objects such as computers or cars could make people see the technology as useful and easy to…

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