US citizenship and immigration services to host Twitter ‘office hours’


NextGov: “U.S. Citizenship and Immigration Services wants to get more social with prospective immigrants.

USCIS will host its first-ever Twitter office hours Tuesday from 3-4 p.m. using the #AskUSCIS hashtag. Agency officials hope to provide another avenue for customers to ask questions and receive real-time feedback, according to a USCIS blog post.

To participate, customers just have to follow @USCIS on Twitter, use the hashtag and ask away, although the blog post makes clear staff won’t answer case-specific questions and case status updates.

The post also warns Twitter users not to post Social Security numbers, receipt numbers or any other personally identifiable information.

“With Twitter office hours, we want to help you – either as you’re preparing forms or after you’ve filed,” the blog post states.

USCIS will post a transcript of the questions and answers to its blog following the Twitter office hours, and if the concept is successful, the agency plans to host the sessions on a regular basis.

The agency’s social outreach plan is part of broader effort among federal agencies to improve customer experience.

This particular variant of digital engagement mirrors an effort championed by the Office of Federal Student Aid. FAFSA answers questions on the last Wednesday of every month using the hashtag #AskFAFSA, an effort that’s helped build its digital engagement significantly in recent years….(More)”

Review Federal Agencies on Yelp…and Maybe Get a Response


Yelp Official Blog: “We are excited to announce that Yelp has concluded an agreement with the federal government that will allow federal agencies and offices to claim their Yelp pages, read and respond to reviews, and incorporate that feedback into service improvements.

We encourage Yelpers to review any of the thousands of agency field offices, TSA checkpoints, national parks, Social Security Administration offices, landmarks and other places already listed on Yelp if you have good or bad feedback to share about your experiences. Not only is it helpful to others who are looking for information on these services, but you can actually make an impact by sharing your feedback directly with the source.

It’s clear Washington is eager to engage with people directly through social media. Earlier this year a group of 46 lawmakers called for the creation of a “Yelp for Government” in order to boost transparency and accountability, and Representative Ron Kind reiterated this call in a letter to the General Services Administration (GSA). Luckily for them, there’s no need to create a new platform now that government agencies can engage directly on Yelp.

As this agreement is fully implemented in the weeks and months ahead, we’re excited to help the federal government more directly interact with and respond to the needs of citizens and to further empower the millions of Americans who use Yelp every day.

In addition to working with the federal government, last week we announced our our partnership with ProPublica to incorporate health care statistics and consumer opinion survey data onto the Yelp business pages of more than 25,000 medical treatment facilities. We’ve also partnered with local governments in expanding the LIVES open data standard to show restaurant health scores on Yelp….(More)”

What factors influence transparency in US local government?


Grichawat Lowatcharin and Charles Menifield at LSE Impact Blog: “The Internet has opened a new arena for interaction between governments and citizens, as it not only provides more efficient and cooperative ways of interacting, but also more efficient service delivery, and more efficient transaction activities. …But to what extent does increased Internet access lead to higher levels of government transparency? …While we found Internet access to be a significant predictor of Internet-enabled transparency in our simplest model, this finding did not hold true in our most extensive model. This does not negate that fact that the variable is an important factor in assessing transparency levels and Internet access. …. Our data shows that total land area, population density, percentage of minority, education attainment, and the council-manager form of government are statistically significant predictors of Internet-enabled transparency.  These findings both confirm and negate the findings of previous researchers. For example, while the effect of education on transparency appears to be the most consistent finding in previous research, we also noted that the rural/urban (population density) dichotomy and the education variable are important factors in assessing transparency levels. Hence, as governments create strategic plans that include growth models, they should not only consider the budgetary ramifications of growth, but also the fact that educated residents want more web based interaction with government. This finding was reinforced by a recent Census Bureau report indicating that some of the cities and counties in Florida and California had population increases greater than ten thousand persons per month during the period 2013-2014.

This article is based on the paper ‘Determinants of Internet-enabled Transparency at the Local Level: A Study of Midwestern County Web Sites’, in State and Local Government Review. (More)”

Yelp’s Consumer Protection Initiative: ProPublica Partnership Brings Medical Info to Yelp


Yelp Official Blog: “…exists to empower and protect consumers, and we’re continually focused on how we can enhance our service while enhancing the ability for consumers to make smart transactional decisions along the way.

A few years ago, we partnered with local governments to launch the LIVES open data standard. Now, millions of consumers find restaurant inspection scores when that information is most relevant: while they’re in the middle of making a dining decision (instead of when they’re signing the check). Studies have shown that displaying this information more prominently has a positive impact.

Today we’re excited to announce we’ve joined forces with ProPublica to incorporate health care statistics and consumer opinion survey data onto the Yelp business pages of more than 25,000 medical treatment facilities. Read more in today’s Washington Post story.

We couldn’t be more excited to partner with ProPublica, the Pulitzer Prize winning non-profit newsroom that produces investigative journalism in the public interest.

The information is compiled by ProPublica from their own research and the Centers for Medicare and Medicaid Services (CMS) for 4,600 hospitals, 15,000 nursing homes, and 6,300 dialysis clinics in the US and will be updated quarterly. Hover text on the business page will explain the statistics, which include number of serious deficiencies and fines per nursing home and emergency room wait times for hospitals. For example, West Kendall Baptist Hospital has better than average doctor communication and an average 33 minute ER wait time, Beachside Nursing Center currently has no deficiencies, and San Mateo Dialysis Center has a better than average patient survival rate.

Now the millions of consumers who use Yelp to find and evaluate everything from restaurants to retail will have even more information at their fingertips when they are in the midst of the most critical life decisions, like which hospital to choose for a sick child or which nursing home will provide the best care for aging parents….(More)

The Data Divide: What We Want and What We Can Get


Craig Adelman and Erin Austin at Living Cities (Read Blog 1):There is no shortage of data. At every level–federal, state, county, city and even within our own organizations–we are collecting and trying to make use of data. Data is a catch-all term that suggests universal access and easy use. The problem? In reality, data is often expensive, difficult to access, created for a single purpose, quickly changing and difficult to weave together. To aid and inform future data-dependent research initiatives, we’ve outlined the common barriers that community development faces when working with data and identified three ways to overcome them.

Common barriers include:

  • Data often comes at a hefty price. …
  • Data can come with restrictions and regulations. …
  • Data is built for a specific purpose, meaning information isn’t always in the same place. …
  • Data can actually be too big. ….
  • Data gaps exist. …
  • Data can be too old. ….

As you can tell, there can be many complications when it comes to working with data, but there is still great value to using and having it. We’ve found a few way to overcome these barriers when scoping a research project:

1) Prepare to have to move to “Plan B” when trying to get answers that aren’t readily available in the data. It is incredibly important to be able to react to unexpected data conditions and to use proxy datasets when necessary in order to efficiently answer the core research question.

2) Building a data budget for your work is also advisable, as you shouldn’t anticipate that public entities or private firms will give you free data (nor that community development partners will be able to share datasets used for previous studies).

3) Identifying partners—including local governments, brokers, and community development or CDFI partners—is crucial to collecting the information you’ll need….(More)

Four things policy-makers need to know about social media data and real time analytics.


Ella McPherson at LSE’s Impact Blog: “I recently gave evidence to the House of Commons Science and Technology Select Committee. This was based on written evidence co-authored with my colleague, Anne Alexander, and submitted to their ongoing inquiry into social media data and real time analytics. Both Anne and I research the use of social media during contested times; Anne looks at its use by political activists and labour movement organisers in the Arab world, and I look at its use in human rights reporting. In both cases, the need to establish facticity is high, as is the potential for the deliberate or inadvertent falsification of information. Similarly to the case that Carruthers makes about war reporting, we believe that the political-economic, methodological, and ethical issues raised by media dynamics in the context of crisis are bellwethers for the dynamics in more peaceful and mundane contexts.

From our work we have learned four crucial lessons that policy-makers considering this issue should understand:

1.  Social media information is vulnerable to a variety of distortions – some typical of all information, and others more specific to the characteristics of social media communications….

2.  If social media information is used to establish events, it must be verified; while technology can hasten this process, it is unlikely to ever occur real time due to the subjective, human element of judgment required….

 

3.  Verifying social media information may require identifying its source, which has ethical implications related to informed consent and anonymisation….

4.  Another way to think about social media information is as what Hermida calls an ‘awareness system,’ which reduces the need to collect source identities; under this approach, researchers look at volume rather than veracity to recognise information of interest… (More)

How can we ensure that cities create opportunities for healthy urbanization?


Blog by Roy Ahn, Thomas F. Burke & Anita M. McGahan on their new book: “By the year 2100, 8 out of 10 people in the world will reside in cities – a major change in demographics compared to 100 years ago.

Urbanization has sweeping consequences for population health. Most analysts evaluate the “specter of urbanization” by focusing on problems and challenges, which can include slum development, insecurity, and inequality.

As the World Health Organization and UN Habitat note in their seminal report, Hidden Cities, “Cities concentrate opportunities, jobs and services, but they also concentrate risks and hazards for health.” The urban poor are especially vulnerable because their housing conditions and access to clean water, sanitation, and health care are often severely compromised.

Additionally, the jobs available to the urban poor are often informal, dangerous, and temporary. Yet the lack of integrated governance and infrastructure responsible for urbanization problems also can create remarkable and often untapped opportunities for improving health. How can we ensure that cities create opportunities for healthy urbanization?

In our new book, Innovating for Healthy Urbanization, we argue that using the “innovations” lens can provide a unique platform through which solutions for urbanization and health can emerge.

Sometimes “innovations” can be decidedly high tech, such as holograms on medication packaging that protect against drug counterfeiters, or tiny filter paper tests costing pennies that exponentially increase access to medical diagnostic testing for poor people living in cities.

Other innovations are less tech-focused, but equally impactful, such as advocating for motorcycle helmet laws in cities or a low-cost, condom catheter-balloon kit that can save mothers from dying from postpartum hemorrhage.

What makes both high- and low-tech solutions effective? Pushing the envelope on what works and then integrating solutions to meet a community’s priority needs…..(More)”

Using Twitter as a data source: An overview of current social media research tools


Wasim Ahmed at the LSE Impact Blog: “I have a social media research blog where I find and write about tools that can be used to capture and analyse data from social media platforms. My PhD looks at Twitter data for health, such as the Ebola outbreak in West Africa. I am increasingly asked why I am looking at Twitter, and what tools and methods there are of capturing and analysing data from other platforms such as Facebook, or even less traditional platforms such as Amazon book reviews. Brainstorming a couple of responses to this question by talking to members of the New Social Media New Social Science network, there are at least six reasons:

  1. Twitter is a popular platform in terms of the media attention it receives and it therefore attracts more research due to its cultural status
  2. Twitter makes it easier to find and follow conversations (i.e., by both its search feature and by tweets appearing in Google search results)
  3. Twitter has hashtag norms which make it easier gathering, sorting, and expanding searches when collecting data
  4. Twitter data is easy to retrieve as major incidents, news stories and events on Twitter are tend to be centred around a hashtag
  5. The Twitter API is more open and accessible compared to other social media platforms, which makes Twitter more favourable to developers creating tools to access data. This consequently increases the availability of tools to researchers.
  6. Many researchers themselves are using Twitter and because of their favourable personal experiences, they feel more comfortable with researching a familiar platform.

It is probable that a combination of response 1 to 6 have led to more research on Twitter. However, this raises another distinct but closely related question: when research is focused so heavily on Twitter, what (if any) are the implications of this on our methods?

As for the methods that are currently used in analysing Twitter data i.e., sentiment analysis, time series analysis (examining peaks in tweets), network analysis etc., can these be applied to other platforms or are different tools, methods and techniques required? In addition to qualitative methods such as content analysis, I have used the following four methods in analysing Twitter data for the purposes of my PhD, below I consider whether these would work for other social media platforms:

  1. Sentiment analysis works well with Twitter data, as tweets are consistent in length (i.e., <= 140) would sentiment analysis work well with, for example Facebook data where posts may be longer?
  2. Time series analysis is normally used when examining tweets overtime to see when a peak of tweets may occur, would examining time stamps in Facebook posts, or Instagram posts, for example, produce the same results? Or is this only a viable method because of the real-time nature of Twitter data?
  3. Network analysis is used to visualize the connections between people and to better understand the structure of the conversation. Would this work as well on other platforms whereby users may not be connected to each other i.e., public Facebook pages?
  4. Machine learning methods may work well with Twitter data due to the length of tweets (i.e., <= 140) but would these work for longer posts and for platforms that are not text based i.e., Instagram?

It may well be that at least some of these methods can be applied to other platforms, however they may not be the best methods, and may require the formulation of new methods, techniques, and tools.

So, what are some of the tools available to social scientists for social media data? In the table below I provide an overview of some the tools I have been using (which require no programming knowledge and can be used by social scientists):…(More)”

Democratising the Data Revolution


Jonathan Gray at Open Knowledge: “What will the “data revolution” do? What will it be about? What will it count? What kinds of risks and harms might it bring? Whom and what will it serve? And who will get to decide?

Today we are launching a new discussion paper on “Democratising the Data Revolution”, which is intended to advance thinking and action around civil society engagement with the data revolution. It looks beyond the disclosure of existing information, towards more ambitious and substantive forms of democratic engagement with data infrastructures.1

It concludes with a series of questions about what practical steps institutions and civil society organisations might take to change what is measured and how, and how these measurements are put to work.

You can download the full PDF report here, or continue to read on in this blog post.

What Counts?

How might civil society actors shape the data revolution? In particular, how might they go beyond the question of what data is disclosed towards looking at what is measured in the first place? To kickstart discussion around this topic, we will look at three kinds of intervention: changing existing forms of measurement, advocating new forms of measurement and undertaking new forms of measurement.

Changing Existing Forms of Measurement

Rather than just focusing on the transparency, disclosure and openness of public information, civil society groups can argue for changing what is measured with existing data infrastructures. One example of this is recent campaigning around company ownership in the UK. Advocacy groups wanted to unpick networks of corporate ownership and control in order to support their campaigning and investigations around tax avoidance, tax evasion and illicit financial flows.

While the UK company register recorded information about “nominal ownership”, it did not include information about so-called “beneficial ownership”, or who ultimately benefits from the ownership and control of companies. Campaigners undertook an extensive programme of activities to advocate for changes and extensions to existing data infrastructures – including via legislation, software systems, and administrative protocols.2

Advocating New Forms of Measurement

As well as changing or recalibrating existing forms of measurement, campaigners and civil society organisations can make the case for the measurement of things which were not previously measured. For example, over the past several decades social and political campaigning has resulted in new indicators about many different issues – such as gender inequality, health, work, disability, pollution or education.3 In such cases activists aimed to establish a given indicator as important and relevant for public institutions, decision makers, and broader publics – in order to, for example, inform policy development or resource allocation.

Undertaking New Forms of Measurement

Historically, many civil society organisations and advocacy groups have collected their own data to make the case for action on issues that they work on – from human rights abuses to endangered species….(More)”

India PM releases ‘official Narendra Modi app’


David Reid at The Telegraph: “Narendra Modi, the Indian prime minister, who is already the third most popular world leader on Twitter, has extended his reach on social media by launching his own mobile app.

The app gives users regular updates on Mr Modi’s movements, and includes blog posts, interviews and “messages from the PM”….

Users can listen live to the Indian prime minister’s regular radio show, Mann Ki Baat and read about Mr Modi’s rise from “humble beginnings” on the biography section.

Another article explains why Mr Modi “opposes move to include his life story in school syllabus”.

A loyalty scheme rewards supporters with points and badges for filling out questionnaires and listening to Mr Modi’s speeches.

Mr Modi, who has 13 million followers on Twitter, is not the first politician to launch a personal app, although they are usually reserved for campaigning.

As well as Twitter, Mr Modi also has Facebook, Pinterest and YouTube accounts and his own website….(More)