Monday, October 20, 2014

The Dark Market for Personal Data (A kind of audience research that we should fight).

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CreditSam Potts
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BALTIMORE — THE reputation business is exploding. Having eroded privacy for decades, shady, poorly regulated data miners, brokers and resellers have now taken creepy classification to a whole new level. They have created lists of victims of sexual assault, and lists of people with sexually transmitted diseases. Lists of people who have Alzheimer’s, dementia and AIDS. Lists of the impotent and the depressed.
There are lists of “impulse buyers.” Lists of suckers: gullible consumers who have shown that they are susceptible to “vulnerability-based marketing.” And lists of those deemed commercially undesirable because they live in or near trailer parks or nursing homes. Not to mention lists of people who have beenaccused of wrongdoing, even if they were not charged or convicted.
Typically sold at a few cents per name, the lists don’t have to be particularly reliable to attract eager buyers — mostly marketers, but also, increasingly, financial institutions vetting customers to guard against fraud, and employers screening potential hires.
There are three problems with these lists. First, they are often inaccurate. For example, as The Washington Post reported, an Arkansas woman found her credit history and job prospects wrecked after she was mistakenly listed as a methamphetamine dealer. It took her years to clear her name and find a job.
Second, even when the information is accurate, many of the lists have no business being in the hands of retailers, bosses or banks. Having a medical condition, or having been a victim of a crime, is simply not relevant to most employment or credit decisions.
Third, people aren’t told they are on these lists, so they have no opportunity to correct bad information. The Arkansas woman found out about the inaccurate report only when she was denied a job. She was one of the rare ones.
“Data-driven” hiring practices are under increasing scrutiny, because the data may be a proxy for race, class or disability. For example, in 2011, CVS settled a charge of disability discrimination after a job applicant challenged a personality test that probed mental health issues. But if an employer were to secretly use lists based on inferences about mental health, it would be nearly impossible for an affected applicant to find out what was going on. Secrecy is discrimination’s best friend: Unknown unfairness can never be detected, let alone corrected.
These problems can’t be solved with existing law. The Federal Trade Commission has strained to understand personal data markets — a $156-billion-a-year industry — and it can’t find out where the data brokers get their information, and whom they sell it to. Hiding behind a veil of trade secrecy, most refuse to divulge this vital information.
The market in personal information offers little incentive for accuracy; it matters little to list-buyers whether every entry is accurate — they need only a certain threshold percentage of “hits” to improve their targeting. But to individuals wrongly included on derogatory lists, the harm to their reputation is great.
The World Privacy Forum, a research and advocacy organization, estimatesthat there are about 4,000 data brokers. They range from giants like Acxiom, a publicly traded company that helps marketers target consumer segments, to boutiques like Paramount Lists, which has compiled lists of addicts and debtors. Companies like these vacuum up data from just about any source imaginable: consumer health websites, payday lenders, online surveys, warranty registrations, Internet sweepstakes, loyalty-card data from retailers, charities’ donor lists, magazine subscription lists, and information from public records.
It’s unrealistic to expect individuals to inquire, broker by broker, about their files. Instead, we need to require brokers to make targeted disclosures to consumers. Uncovering problems in Big Data (or decision models based on that data) should not be a burden we expect individuals to solve on their own.
Privacy protections in other areas of the law can and should be extended to cover consumer data. The Health Insurance Portability and Accountability Act, or Hipaa, obliges doctors and hospitals to give patients access to their records. The Fair Credit Reporting Act gives loan and job applicants, among others, a right to access, correct and annotate files maintained by credit reporting agencies.
It is time to modernize these laws by applying them to all companies that peddle sensitive personal information. If the laws cover only a narrow range of entities, they may as well be dead letters. For example, protections in Hipaa don’t govern the “health profiles” that are compiled and traded by data brokers, which can learn a great deal about our health even without access to medical records.
Congress should require data brokers to register with the Federal Trade Commission, and allow individuals to request immediate notification once they have been placed on lists that contain sensitive data. Reputable data brokers will want to respond to good-faith complaints, to make their lists more accurate. Plaintiffs’ lawyers could use defamation law to hold recalcitrant firms accountable.
We need regulation to help consumers recognize the perils of the new information landscape without being overwhelmed with data. The right to be notified about the use of one’s data and the right to challenge and correct errors is fundamental. Without these protections, we’ll continue to be judged by a big-data Star Chamber of unaccountable decision makers using questionable sources.

Monday, October 13, 2014

Editable survey questions document

Here's the link to the editable survey document.

In order to edit the document, make sure you select "open with Google Docs" after you click on the link.

If this works, by the end of the week, the finished document will be in good enough shape to hand over to the Research Firm hired to send this out into the field:

https://docs.google.com/document/d/1YGap0VrtJz_6vBFH7uA1UcyXiTPtOOcnqhsLRvAjPdM/edit?usp=sharing

(In the even that you're reading this post first, this will make more sense after you read all of the other posts for this week).


Our final week

Greetings,

Incredibly, this is our final week.

Our major task this week is to create a questionnaire that will be distributed to media execs around the idea of communications innovation.

If you have the contact information of individuals who might be ideal respondents to complete the survey, please send those to me in an email.

I've enjoyed the class and want to thank you for the sheer volume of high-quality comments/interaction.

In a perfect world, I would have taught this course over 16 weeks in-person. We could have created the questionnaire, put it out into the field, analyzed the data, produced the report, and presented the findings at some kind of venue (or put the finished report up for sale).

Even so, it's only a 1-credit hour course and we covered a lot of material in a relatively short amount of time.

It's been a pleasure.

I'll be teaching the Applied Business Research Methods course in February, so we'll all reconvene again then.

Again, thank you.

Jack

Creativity, Collaboration, Culture Survey (C-Factors Survey) Report

Before you begin to work on the questionnaire, read the final report of a Creativity, Collaboration and Culture survey.

This is what our final white paper will look like.

Ideally, it will be presented at SXSW (or a similar setting).

This report will be completed after this course, so it's not anything you need to worry about, but I suspect some, if not all, will be asked to be involved in some capacity once the data are collected.

https://drive.google.com/file/d/0B2Dv4MQMdbN4TGMtTGxMWDRzLWc/view?usp=sharing

As you read the report, contemplate the questions that you'd like to see added to our survey.

Feel free to comment below.

Jack


Nielsen-Essence The African American Consumer 2014 Report

Below is a link to a joint report published by Nielsen and Essence that provides audience research information on the African American Consumer (A special thanks to Angela for sharing).

It's an excellent example of how audience research is used by the media industry and it also provides an excellent template for how to take lots and lots of quantitative data and present it in a way that can be understood by the client.

In many cases, that's the most difficult part of audience research. There are lots of quant-heads who are great with numbers and stats, but they lack the effective communication and design skills to provide the information in a format easily understood by clients/masses.

Read the report and think about the questions that you'd like to ask in our final questionnaire.

https://drive.google.com/file/d/0B2Dv4MQMdbN4YTF6Q0Z3QkxmMHc/view?usp=sharing

Per usual, feel free to share any thoughts in the comments section.

Thanks.

Jack

Innovation Survey Questions (from pilot questionnaire)

As some of you may know, Dean Gayeski has asked us to consult on a questionnaire that will be distributed to a sample of media execs that attempts to get a read on how valued/important 'innovation' is in the communications field.

Below is a link to a pilot questionnaire that she distributed to Park School advisory board members and some high-profile alumni last year.

Our task is to take a look at the survey and to improve it so that it's ready to go into the field.

Please examine the questions and keep in mind what we've already talked about in terms of the "DOs and DON'Ts" of creating a questionnaire.

Our finished questionnaire should have the following:

- an introduction to the survey with a brief explanation of what we're trying to measure
- a few softball questions to ease them into answering
- transition statements from one group of questions to the next
- 5-point Likert scale items, instead of the 3-point questions used. A Likert scale is a five-point scale that ranges from Strongly Agree - Agree - Neither Agree nor Disagree - Disagree - Strongly Disagree.
- closed-ended questions wherever possible (open-ended questions make it extremely difficult to report summary data).
- controversial questions should come near the end of the questionnaire (if you ever want to make sure that NO ONE will take your survey, start by asking these three questions-- 1) How old are you? 2) How much money do you make? 3) What race are you?)

- all demographic questions should be at the end of the questionnaire

Not only should you be thinking of the above, but you should also be thinking of what you think appropriate questions to ask might be. Think of your own fields/positions and how the industry is constantly innovating. What questions are worthy of being asked? It's better to have too many that we pare down rather than too few.

I will be creating a Google Doc (I guess it's called Google Drive now) that we can all edit to help in the process. I'll post the info to it once it's all set.

Here's the link:  

https://drive.google.com/file/d/0B2Dv4MQMdbN4TzdFNEY1UHFLb2s/view?usp=sharing

Feel free to post any questions in the comments section.


Selfies as Audience Research

Below is a an article from the Wall Street Journal that discusses how third-party companies are scanning social media photos for brand logos. These photos are then analyzed to see if the companies can connect their users to specific behaviors. Read the article and post your thoughts as comments.  


Smile! Marketing Firms Are Mining Your Selfies

Photo-Sharing Sites Are Being Scanned to Find Brands, Target Ads

ENLARGE
Most users of popular photo-sharing sites like Instagram, Flickr and Pinterest know that anyone can view their vacation pictures if shared publicly.
But they may be surprised to learn that a new crop of digital marketing companies are searching, scanning, storing and repurposing these images to draw insights for big-brand advertisers.
Some companies, such as Ditto Labs Inc., use software to scan photos—the image of someone holding a Coca-Cola can, for example—to identify logos, whether the person in the image is smiling, and the scene’s context. The data allow marketers to send targeted ads or conduct market research.
Others, such as Piqora Inc., store images for months on their own servers to show marketers what is trending in popularity. Some have run afoul of the loose rules on image-storing that the services have in place.
The startups’ efforts are raising fresh privacy concerns about how photo-sharing sites convey the collection of personal data to users. The trove is startling: Instagram says 20 billion photos have already been shared on its service, and users are adding about 60 million a day.
The digital marketers gain access to photos publicly shared on services like Instagram or Pinterest through software code called an application programming interface, or API. The photo-sharing services, in turn, hope the brands will eventually spend money to advertise on their sites.
Privacy watchdogs contend these sites aren’t clearly communicating to users that their images could be scanned in bulk or downloaded for marketing purposes. Many users may not intend to promote, say, a pair of jeans they are wearing in a photo or a bottle of beer on the table next to them, the privacy experts say.
A screenshot of the Ditto Labs site shows the fire hose of photos that it scans for brands. The site filters photos by categories such as beer.ENLARGE
A screenshot of the Ditto Labs site shows the fire hose of photos that it scans for brands. The site filters photos by categories such as beer. DITTO LABS
“This is an area that could be ripe for commercial exploitation and predatory marketing,” said Joni Lupovitz, vice president at children’s privacy advocacy group Common Sense Media. “Just because you happen to be in a certain place or captured an image, you might not understand that could be used to build a profile of you online.”
In recent years, startups have begun mining text in tweets or social-media posts for keywords that indicate trends or sentiment toward brands. The market for image-mining is newer and potentially more invasive because photos inspire more emotions in people and are sometimes open to more interpretation than text.
Instagram, Flickr and Pinterest Inc.—among the largest photo-sharing sites—say they adequately inform users that publicly posted content might be shared with partners and take action when their rules are violated by outside developers. Photos that are marked as private by users or not shared wouldn’t be available to marketers.
There are no laws forbidding publicly available photos from being analyzed in bulk, because the images were posted by the user for anyone to see and download. The U.S. Federal Trade Commission does require that websites be transparent about how they share user data with third parties, but that rule is open to interpretation, particularly as new business models arise. Authorities have charged companies that omit the scope of their data-sharing from privacy policies with misleading consumers.
“Our API only provides public information to a handful of partners intended to help their clients understand the performance of their content on Pinterest.”
—Pinterest
The FTC declined to comment.
The photo sites’ privacy policies—the legal document enforced by law as promises to consumers—vary in wording but none of them clearly convey how third-party services treat user-posted photos.
For example, the privacy policy of Instagram, which is owned by Facebook Inc., directs its more than 200 million users to a separate document that explains rules for developers. Pinterest and Flickr, owned by Yahoo Inc., have no explicit mention of third-party developers in their privacy policies. Other popular sites for photos, including Twitter Inc. and another Yahoo-owned site, Tumblr, warn users they may share nonprivate content with third parties.
While Facebook is one of the largest photo-sharing sites, the fact that most of its users restrict their photos’ access with privacy controls has deterred outside developers from mining those images. Developers commonly use Facebook’s API to pull in profile photos of its members but not for marketing purposes.
An Instagram spokesman said its partnerships with developers don’t “change anything about who owns photos, or the protections we have in place to keep our community a safe place.” Flickr said it takes steps to prevent outside developers from scanning photos on its site in bulk.
Pinterest said “our API only provides public information to a handful of partners intended to help their clients understand the performance of their content on Pinterest.”
Spokeswomen for Tumblr and Twitter declined to comment.
Jules Polonetsky, the director of Future of Privacy Forum, an advocacy group funded by Facebook and other tech companies, said users should assume that companies are scanning sites for market research if their photos are publicly viewable.
But the boom in image-scanning technologies could lead to a world in which people’s offline behavior, caught in unsuspecting images, increasingly becomes fodder for more personalized forms of marketing, said Peter Eckersley, technology-projects director for the Electronic Frontier Foundation.
Moreover, the use of software to scan faces or objects in photos is so new that most sites don’t mention the technology in their privacy policies.
Advertisers such as Kraft Foods Group Inc. pay Ditto Labs to find their products’ logos in photos on Tumblr and Instagram. The Cambridge, Mass., company’s software can detect patterns in consumer behavior, such as which kinds of beverages people like to drink with macaroni and cheese, and whether or not they are smiling in those images. Ditto Labs places users into categories, such as “sports fans” and “foodies” based on the context of their images.
Kraft might use those insights to cross-promote certain products in stores or ads, or to better target customers online. David Rose, who founded Ditto Labs in 2012, said one day his image-recognition software will enable consumers to “shop” their friends’ selfies, he said. Kraft didn’t respond to a request for comment.
Ditto Labs also offers advertisers a way to target specific users based on their photos posted on Twitter, though Mr. Rose said most advertisers are reluctant to do so because users might find it “creepy.”
Mr. Rose acknowledges that most people who upload photos don’t understand they could be scanned for marketing insights. He said photo-sharing services should do more to educate users and give them finer controls over how companies like his treat photos.
Beyond image recognition, some API partners employ a process called “caching,” meaning they download photos to their own servers. One of the more common uses of caching is to build a marketing campaign around photos uploaded by users and tagged with a specific hashtag.
The companies don’t mention caching in their privacy policies and they vary in how long developers can store photos on their servers. Tumblr, for example, restricts caching to three days while Instagram says “reasonable periods.”
Some developers have already overstepped the rules set forth by photo-sharing sites. Last month, Pinterest learned from a Wall Street Journal inquiry that Piqora, one of seven partners in its business API program, launched in May, was violating its image-use policy.
Piqora, a San Mateo, Calif., marketing analytics startup, collects photos into a graphical dashboard that help companies such as clothing and accessories maker Fossil Inc. track which of its own products and those of competing brands are most popular. This violated Pinterest’s rules, which restrict partners from using images from the site that were posted by anyone except their own clients.
After Pinterest learned about the violation, the company asked Piqora to discontinue the practice and plans to begin performing regular audits of its business partners, a spokesman for Pinterest said. Fossil didn’t respond to a request for comment.
Piqora co-founder and Chief Executive Sharad Verma says he has removed the ability to view competitors’ images in the dashboard. He also clarified his company’s cached photos policy from Instagram. Rather than keeping photos for an indefinite period of time, Mr. Verna said he will now delete photos from his servers within 120 days.
“We might be looking at doing away with caching and figuring out a new way to optimize our software,” Mr. Verma said.
— Lisa Fleisher contributed to this article.

Blog Reaction #5 prompt

Your final blog reaction is a two-step process.

The first is to read the pilot survey created by Dean Gayeski and then explain in a blog reaction what you would do differently and why. Pay particular attention to which questions you would keep, which ones you would eliminate, which ones you would alter, which ones you would add, the ordering of the material, the transition statements, and so on.

The second step is to then put those thoughts into action and make those changes in the editable document that will be made available via Google Drive.

Per usual, post your blog reactions as comments.

Thanks.


Sunday, October 12, 2014

Lest you think Nielsen plans on sitting by idly while others provide Twitter/Social TV ratings...

Nielsen to Measure Twitter Chatter About TV Shows

  • FACEBOOK
  • TWITTER
  • GOOGLE+
  • SAVE
  • EMAIL
  • SHARE
  • PRINT
  • REPRINTS
Only 98,600 people wrote messages on Twitter about the two-hour season premiere of “Grey’s Anatomy” last month. That’s a tiny fraction of the 9.3 million who, according to Nielsen, watched the show that night.
Trae Patton/NBC
Two episodes of NBC’s “The Voice” ranked in the top 10, reaching 3.8 million and then 2.7 million accounts.

But the posts, 225,000 of them in total, were seen by millions of Twitter users, some of whom might have fired up their digital video recorders or laptops to watch the episode later.
Nielsen is now measuring what it calls the “unique audience” for Twitter posts about television, providing a more complete view of the phenomenon known as social TV. On Monday the company is introducing Nielsen Twitter TV Ratings, a product announced last year that professes to measure all the activity and reach of Twitter conversation about shows, even if it has yet to be embraced by television executives and gain a broad client base.
“We feel this is going to be a credibility-building moment for the industry,” said Andrew Somosi, the chief executive of SocialGuide, an analytics company that Nielsen acquired last November, in part to create the new product.
Measures of posts about a TV show (“Can’t wait for ‘The Walking Dead’ to start”) are just the tip of Twitter’s iceberg, Mr. Somosi said in an interview: “The full iceberg is the extent to which people are seeing those tweets.” For example, the 225,000 posts about the Sept. 26 episode of “Grey’s Anatomy” were seen by 2.8 million distinct Twitter accounts, according to Nielsen’s algorithms.
It is impossible to say how many of those users watched the show as a result of the posts, but previous research has found that Twitter activity sometimes spurs viewership. Twitter has made collaboration with the television industry a priority as it seeks to impress investors; the prospectus for its initial public offering, published Thursday, mentioned television 42 times.
Executives at Nielsen say they expect that TV networks will start to promote their Twitter TV Ratings performance the same way they do broadcast ratings. But it is unclear how many networks or advertisers are actually paying to receive the overnight data. Nielsen declined to name any customers, and representatives of only two media companies — Discovery Communications, the Discovery Channel owner, and the ad-buying giant Universal McCann — were quoted in a news release about the new product.
“This is just the beginning; the data hasn’t been available until now,” said Sean Casey, who founded SocialGuide and is now its senior vice president for product.
During the week of Sept. 23, for example, the finale of AMC’s “Breaking Bad” ranked No. 1 in the Twitter TV Ratings, with 1.2 million posts that reached 9.3 million Twitter accounts, according to Nielsen. Two episodes of NBC’s “The Voice” also ranked in the top 10, reaching 3.8 million and then 2.7 million accounts. Interestingly, one of four new episodes that week of “Jimmy Kimmel Live” cracked the top 10. It was the one broadcast Sept. 26, during a Twitter feud between Mr. Kimmel and Kanye West.
Mr. Casey said he and his colleagues had a variety of techniques to capture posts about shows and exclude those that merely use similar words. (With the ABC drama “Scandal,” for instance, messages that mention “a scandal” would be thrown out.) In the future they plan to distinguish between a TV star’s posts about his or her own show (which are not currently measured) and posts from viewers, so networks (and presumably talent agents) can tell how influential a star’s posts are.
Some networks may question Nielsen’s methodology, especially since a TV-related post is said to be viewed whenever it is loaded on the Web or whenever it shows up on screen, however briefly, on a mobile device.
More generally, skepticism abounds about how representative Twitter chatter is — or isn’t.
“What people often lose sight of is the fact that the overwhelming majority of conversations about TV shows still take place offline,” said Ed Keller, the chief executive of the Keller Fay Group, a market research firm that specializes in word of mouth and supplies data to networks like CBS.
The firm’s surveys consistently indicate that 80 percent of conversations about TV shows happen in person and 10 percent happen on the phone, with most of the remaining 10 percent occurring online.
“The conversations that take place in the real world can often be quite different from those that take place on social media,” Mr. Keller said.

Will this be the tipping point to move away from Nielsen and more toward digital audience researchers like RENTRAK and Listen First? (Thanks for sharing this, Rob).



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Nielsen, the television research firm, acknowledged on Friday that it had been reporting inaccurate ratings for the broadcast networks for the last seven months, a mistake that raises questions about the company’s increasingly criticized system for measuring TV audiences.
The error wound up benefiting one network, ABC, while negatively affecting the others, according to people briefed on the problem. In a telephone call with reporters, Nielsen executives would not confirm that it had resulted in added viewers for ABC, saying they could not discuss individual clients.
An ABC executive confirmed that the error had improved the network’s ratings. As for Nielsen, its executives played down the discrepancy in viewing totals, saying they fell between 0.1 percent and 0.25 percent of the viewing totals.
But it remained unclear how the mistake would affect the billions of advertising dollars based on Nielsen’s ratings, as well as the company’s reputation. And several television and advertising executives expressed degrees of anger and incredulity at both the incorrect ratings and the amount of time — seven months — it had taken to discover the problem.
“These ratings are the currency of the business,” said Alan Wurtzel, who heads research at NBC. “Any time that currency is under suspicion it’s a concern.”
Lyle Schwartz, a managing partner in charge of research at WPP’s GroupM, the world’s largest media buying group, said it was a credibility issue for Nielsen. “You look at Nielsen as the gold standard for currency,” Mr. Schwartz said. “When you introduce these errors on systems that were working fine in the past, you start looking at the numbers a little bit closer to see if there is anything else occurring that we haven’t identified yet.”
Nielsen has long reigned as the main source that the entertainment industry uses to measure TV audiences, and its ratings are the currency on which nearly $70 billion in advertising dollars are traded each year in the United States.
The company has come under increased pressure in recent years as television and advertising executives have called its methodology antiquated and questioned its ability to measure the ways people watch television today, whether on a traditional TV set in the living room or on a mobile phone on the fly. A range of outsiders, including Rentrak and comScore, are challenging Nielsen’s dominance by introducing methods to track TV viewing in the digital age.
Brian Wieser, a media analyst with Pivotal Research, said Nielsen was struggling on multiple fronts. “You’ve got a ‘death of TV’ fear in general, you have the Rentrak competitiveness issue, and you have the quality and integrity of the data issue,” Mr. Wieser said.
“Any one of those three things could come up at any time,” he added, “but for those to hit you all at the same time, wow.”
Network shows are judged by small fractions of ratings points and perceptions of a show’s success or failure are often determined by whether the show gained or lost as little as a tenth of a point. In one example that will surely be raised, ABC News made headlines this last week by surpassing NBC News’s evening broadcast for the first time in six years. NBC will undoubtedly question those results now, especially because it has noted for months that ABC began closing the ratings gap in April — or one month after the pro-ABC error affected Nielsen’s system.
Even if the ABC gains were entirely legitimate, they now have a shadow over them. ABC issued a statement on Friday saying that despite the error, the network was confident that it would maintain the ratings momentum that its programming has seen in the opening weeks of the new television season.
The Nielsen executives Pat McDonough and Steve Hasker said repeatedly in their news conference on Friday that the incorrect ratings — which had affected every program on ABC, not just the ones in prime time — fell “well within the tolerance of statistical error.” They said any changes in numbers or the rankings of programs would be largely insignificant and would be corrected when Nielsen issues new ratings on Monday.
But in a statement sent to clients, the company said, “In the vast majority of cases the impact is small, but in a handful of cases the impact is more material.”
The Nielsen executives emphasized that ABC had nothing to do with the incorrect ratings and blamed a new software program that was introduced in March. The mistakes affected something called “all other tuning,” an arcane part of the measurement of broadcast ratings (cable network ratings are unaffected).
Mr. Hasker said in the phone call on Friday that the company had first detected the discrepancy itself, a point challenged by several executives at the broadcast networks.
The error was most noticeable in changes in reported ratings between the first available numbers — which arrive each morning — and the more complete “fast national” numbers, which arrive in the late afternoon. Network executives, including those at ABC, began to notice this fall that ABC’s programs were frequently showing improvement in the second daily accounting — something that usually happens only with the biggest hit shows.
CBS, for example, detected on the first night of the new television season that ABC’s “Dancing with the Stars,” a show that has been in decline for years, got a bump up in the ratings in the afternoon rankings, even though two big ABC-affiliated stations had not even carried the show the previous night.
After examining its records, Nielsen said it had found the software flaw and traced it back to March. The reason it was detected only recently, Mr. Hasker said, was because of the heightened attention to the flood of original programs in the new television season.
Nielsen says it intends to recalibrate its ratings starting only from Aug. 18, not all the way back to March 2, when the error was introduced to the system, Ms. McDonough said. If specific clients ask for detailed breakdowns for discrepancies during the earlier months, Nielsen will work with them, Ms. McDonough said.
Mr. Wurtzel said NBC would press Nielsen for more information. “I’m asking for it,” he said. “How do we ever begin to do any kind of tracking or historical analysis if you can’t get accurate data?” Advertising clients are also likely to have difficult questions for Nielsen.
Kate Sirkin, executive vice president of global research at the Publicis Groupe’s Starcom MediaVest Group, said a big issue for advertisers was that it had taken so long for Nielsen to alert them to the problem. “The big concern on our part is that this happened, and it has happened for months, and nobody noticed,” Ms. Sirkin said. “That is scary because we pay millions of dollars for Nielsen to do this complicated thing, but that is what their job is.”