Tag Archives: BBC

History is happening, and we’re not just watching

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  1. Which recent hurricane got the least amount of attention from TV news broadcasters?
    1. Irma
    2. Maria
    3. Harvey
  2. Thomas Jefferson said, “Government that governs least governs best.”
    1. True
    2. False
  3. Mitch McConnell shows up most on which cable TV news channel?
    1. CNN
    2. Fox News
    3. MSNBC

Answers at end of post.

The Internet Archive’s TV News Archive, our constantly growing online, free library of TV news broadcasts, contains 1.4 million shows, some dating back to 2009, searchable by closed captioning. History is happening, and we preserve how broadcast news filters it to us, the audience, whether it’s through CNN’s Jake Tapper, Fox’s Bill O’Reilly, MSNBC’s Rachel Maddow or others. This archive becomes a rich resource for journalists, academics, and the general public to explore the biases embedded in news coverage and to hold public officials accountable.

Last October we wrote how the Internet Archive’s TV News Archive was “hacking the election,” then 13 days away. In the year since, we’ve been applying our experience using machine learning to track political ads and TV news coverage in the 2016 elections to experiment with new collaborations and tools to create more ways to analyze the news.

Helping fact-checkers

Since we launched our Trump Archive in January 2017, and followed in August with the four congressional leaders, Democrat and Republican, as well as key executive branch figures, we’ve collected some 4,534 hours of curated programming and more than 1,300 fact-checks of material on subjects ranging from immigration to the environment to elections.

 

The 1,340 fact-checks–and counting–represent a subset of the work of partners FactCheck.org, PolitiFact and The Washington Post’s Fact Checker, as we link only to fact-checks that correspond to statements that appear on TV news. Most of the fact-checks–524–come from PolitiFact; 492 are by FactCheck.org, and 324 from The Washington Post’s Fact Checker.

We’re also proud to be part of the Duke Reporter’s Lab’s new Tech & Check collaborative, where we’re working with journalists and computer scientists to develop ways to automate parts of the fact-checking process.  For example, we’re creating processes to help identify important factual claims within TV news broadcasts to help guide fact-checkers where to concentrate their efforts. The initiative received $1.2 million from the John S. and James L. Knight Foundation, the Facebook Journalism Project and the Craig Newmark Foundation.

See the Trump, US Congress, and executive branch archives and collected fact-checks.

TV News Kitchen

We’re collaborating with data scientists, private companies and nonprofit organizations, journalists, and others to cook up new experiments available in our TV News Kitchen, providing new ways to analyze TV news content and understand ourselves.

Dan Schultz, our senior creative technologist, worked with the start-up Matroid to develop Face-o-Matic, which tracks faces of selected high level elected officials on major TV cable news channels: CNN, Fox News, MSNBC, and BBC News. The underlying data are available for download here. Unlike caption-based searches, Face-o-Matic uses facial recognition algorithms to recognize individuals on TV news screens. It is sensitive enough to catch this tiny, dark image of House Minority Leader Nancy Pelosi, D., Calif., within a graphic, and this quick flash of Senate Minority Leader Chuck Schumer, D., N.Y., and Senate Majority Leader Mitch McConnell, R., Ky.

The work of TV Architect Tracey Jaquith, our Third Eye project scans the lower thirds of TV screens, using OCR, or optical character recognition, to turn these fleeting missives into downloadable data ripe for analysis. Launched in September 2017, Third Eye tracks BBC News, CNN, Fox News, and MSNBC, and collected more than four million chyrons captured in just over two weeks, and counting.

Download Third Eye data. API and TSV options available.

Follow Third Eye on Twitter.

Vox news reporter Alvin Chang used the Third Eye chyron data to report how Fox News paid less attention to Hurricane Maria’s destruction in Puerto Rico than it did to Hurricanes Irma and Harvey, which battered Florida and Texas. Chang’s work followed a similar piece by Dhrumil Mehta for FiveThirtyEight, which used Television Explorer, a tool developed by data scientist Kalev Leetaru to search and visualize closed captioning on the TV News Archive.

 

FiveThirtyEight used TV News Archive captions to create this look at how cable networks covered recent hurricanes.

CNN’s Brian Stelter followed up with a similar analysis on “Reliable Sources” October 1.

We’re also working with academics who are using our tools to unlock new insights. For example, Schultz and Jaquith are working with Bryce Dietrich at the University of Iowa to apply the Duplitron, the audiofingerprinting tool that fueled our political ad airing data, to analyze floor speeches of members of Congress. The study identifies which floor speeches were aired on cable news programs and explores the reasons why those particular clips were selected for airing. A draft of the paper was presented in the 2017 Polinfomatics Workshop in Seattle and will begin review for publication in the coming months.

What’s next? Our plans include making more than a million hours of TV news available to researchers from both private and public institutions via a digital public library branch of the Internet Archive’s TV News Archive. These branches would be housed in computing environments, where networked computers provide the processing power needed to analyze large amounts of data. Researchers will be able to conduct their own experiments using machine learning to extract metadata from TV news. Such metadata could include, for example, speaker identification–a way to identify not just when a speaker appears on a screen, but when she or he is talking. Metadata generated through these experiments would then be used to enrich the TV News Archive, so that any member of the public could do increasingly sophisticated searches.

Going global

We live in an interdependent world, but we often lack understanding about how other cultures perceive us. Collecting global TV could open a new window for journalists and researchers seeking to understand how political and policy messages are reported and spread across the globe. The same tools we’ve developed to track political ads, faces, chyrons, and captions can help us put news coverage from around the globe into perspective.

We’re beginning work to expand our TV collection to include more channels from around the globe. We’ve added the BBC and recently began collecting Deutsche Welle from Germany and the English-language Al Jazeera. We’re talking to potential partners and developing strategy about where it’s important to collect TV and how we can do so efficiently.

History is happening, but we’re not just watching. We’re collecting, making it accessible, and working with others to find new ways to understand it. Stay tuned. Email us at tvnews@archive.org. Follow us @tvnewsarchive, and subscribe to our weekly newsletter here.

Answer Key

  1. b. (See: “The Media Really Has Neglected Puerto Rico,” FiveThirtyEight.
  2. b. False. (See: Vice President Mike Pence statement and linked PolitiFact fact-check.)
  3. c. MSNBC. (See: Face-O-Matic blog post.)

Members of the TV News Archive team: Roger Macdonald, director; Robin Chin, Katie Dahl, Tracey Jaquith, Dan Schultz, and Nancy Watzman.

Face-o-Matic data show Trump dominates – Fox focuses on Pelosi; MSNBC features McConnell

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For every ten minutes that TV cable news shows featured President Donald Trump’s face on the screen this past summer, the four congressional leaders’ visages were presented  for one minute, according an analysis of Face-o-Matic downloadable, free data fueled by the Internet Archive’s TV News Archive and made available to the public today.

Face-o-Matic is an experimental service, developed in collaboration with the start-up Matroid, that tracks the faces of selected high level elected officials on major TV cable news channels: CNN, Fox News, MSNBC, and the BBC. First launched as a Slack app in July, the TV News Archive, after receiving feedback from journalists, is now making the underlying data available to the media, researchers, and the public. It will be updated daily here.

Unlike caption-based searches, Face-o-Matic uses facial recognition algorithms to recognize individuals on TV news screens. Face-o-Matic finds images of people when TV news shows use clips of the lawmakers speaking; frequently, however, the lawmakers’ faces also register if their photos or clips are being used to illustrate a story, or they appear as part of a montage as the news anchor talks.  Alongside closed caption research, these data provide an additional metric to analyze how TV news cable networks present public officials to their millions of viewers.

Our concentration on public officials and our bipartisan tracking is purposeful; in experimenting with this technology, we strive to respect individual privacy and extract only information for which there is a compelling public interest, such as the role the public sees our elected officials playing through the filter of TV news. The TV News Archive is committed to doing this right by adhering to these Artificial Intelligence principles for ethical research developed by leading artificial intelligence researchers, ethicists, and others at a January 2017 conference organized by the Future of Life Institute. As we go forward with our experiments, we will continue to explore these questions in conversations with experts and the public.

Download Face-o-Matic data here.

We want to hear from you:

What other faces would you like us to track? For example, should we start by adding the faces of foreign leaders, such as Russia’s Vladimir Putin and South Korea’s Kim Jong-un? Should we add former President Barack Obama and contender Hillary Clinton? Members of the White House staff? Other members of Congress?

Do you have any technical feedback? If so, please let us know what they are by contacting tvnews@archive.org or participating in the GitHub Face-o-Matic page.

Trump dominates, Pelosi gets little face-time

Overall, between July 13 through September 5, analysis of Face-o-Matic data show:

  • All together, we found 7,930 minutes, or some 132 hours, of face-time for President Donald Trump and the four congressional leaders. Of that amount, Trump dominated with 90 percent of the face-time. Collectively, the four congressional leaders garnered 15 hours of face-time.
  • House Minority leader Nancy Pelosi, D., Calif., got the least amount of time on the screen: just 1.4 hours over the whole period.
  • Of the congressional leaders, Senate Majority Leader Mitch McConnell’s face was found most often: 7.6 hours, compared to 3.8 hours for House Speaker Paul Ryan, R., Wis.; 1.7 hours for Senate Minority Leader Chuck Schumer, D., N.Y., and 1.4 hours for Pelosi.
  • The congressional leaders got bumps in coverage when they were at the center of legislative fights, such as in this clip of McConnell aired by CNN, in which the senator is shown speaking on July 25 about the upcoming health care reform vote. Schumer got coverage on the same date from the network in this clip of him talking about the Russia investigation. Ryan got a huge boost on CNN when the cable network aired his town hall on August 21.

Fox shows most face-time for Pelosi; MSNBC, most Trump and McConnell

The liberal cable network MSNBC gave Trump more face-time than any other network. Ditto for McConnell. A number of these stories highlight tensions between the senate majority leader and the president. For example, here, on August 25, the network uses a photo of McConnell, and then a clip of both McConnell and Ryan, to illustrate a report on Trump “trying to distance himself” from GOP leaders. In this excerpt, from an August 21 broadcast, a clip of McConnell speaking is shown in the background to illustrate his comments that “most news is not fake,” which is interpreted as “seem[ing] to take a shot at the president.”

MSNBC uses photos of both Trump and McConnell in August 12 story on “feud” between the two.

While Pelosi does not get much face-time on any of the cable news networks examined, Fox News shows her face more than any other. In this commentary report on August 20, Jesse Waters criticizes Pelosi for favoring the removal of confederate statues placed in the Capitol building. “Miss Pelosi has been in Congress for 30 years. Now she speaks up?” On August 8, “Special Report With Bret Baier” uses a clip of Pelosi talking in favor of women having a right to choose the size and timing of her family as an “acid test for party base.”

Example of Fox News using a photo of House Minority Leader Nancy Pelosi to illustrate a story, in this case about a canceled San Francisco rally.

While the BBC gives some Trump face-time, it gives scant attention to the congressional leaders. Proportionately, however, the BBC gives Trump less face-time than any of the U.S. networks.

On July 13 the BBC’s “Outside Source” ran a clip of Trump talking about his son, Donald Trump, Jr.’s, meeting with a Russian lobbyist.

For details about the data available, please visit the Face-O-Matic page. The TV News Archive is an online, searchable, public archive of 1.4 million TV news programs aired from 2009 to the present.  This service allows researchers and the public to use television as a citable and sharable reference. Face-O-Matic is part of ongoing experiments in generating metadata for reporters and researchers, enabling analysis of the messages that bombard us daily in public discourse.

 

Internet Archive TV News Lab: Introducing Face-O-Matic, experimental Slack alert system tracking Trump & congressional leaders on TV news

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Working with Matroid, a California-based start up specializing in identifying people and objects in images and video, the Internet Archive’s TV News Archive today releases Face-O-Matic, an experimental public service that alerts users via a Slack app whenever the faces of President Donald Trump and congressional leaders appear on major TV news cable channels: CNN, Fox News, MSNBC, and the BBC. The alerts include hyperlinks to the actual TV news footage on the TV News Archive website, where the viewer can see the appearances in context of the entire broadcast, what comes before and what after.

The new public Slack app, which can be installed on any Slack account by the team’s administrator, marks a milestone in our experiments using machine learning to create prototypes of ways to turn our public, free, searchable library of 1.3 million+ TV news broadcasts into data that will be useful for journalists, researchers, and the public in understanding the messages that bombard all of us day-to-day and even minute-to-minute on TV news broadcasts. This information could provide a way to quantify “face time”–literally–on TV news broadcasts. Researchers could use it to show how TV material is recycled online and on social media, and how editorial decisions by networks help set the terms of public debate.

If you want Face-O-Matic to post to a channel on your team’s Slack, ask an administrator or owner to set it up. The administrator can click on the button below to get started. Visit Slack to learn how to set up or join a Slack team. Questions? Contact Dan Schultz, dan.schultz@archive.org.

Add to Slack

To begin, Dan Schultz, senior creative technologist for the TV News Archive, trained Matroid’s facial detection system to recognize the president;  Senate Majority Leader Mitch McConnell, R., Ky., and Senate Minority Leader Charles Schumer, D, NY; and House Speaker Paul Ryan, R-Wis. and House Minority Leader Nancy Pelosi, D., Calif. All are high-ranking elected officials who make news and appear often on TV screens. The alerts appear in a constantly updating stream as soon as the TV shows appear in the TV News Archive. 

For example, on July 15, 2017 Face-O-Matic detected all five elected officials in an airing of MSNBC Live.

As can be seen, the detections in this case last as little as a second – for example, this flash of Schumer’s and McConnell’s faces alongside each other is a match for both politicians. The moment is from a promotion for “Morning Joe,” the MSNBC show that made headlines in late June when co-hosts Mika Brzezinski and Joe Scarborough were the targets of angry tweets from the president.  

The longest detected segment in this example is 24 seconds featuring Trump, saying “we are very very close to ending this health care nightmare. We are so close. It’s a common sense approach that restores the sacred doctor-patient relationship. And you’re going to have great health care at a lower price.”

Why detect faces of public officials?

First, our concentration on public officials is purposeful; in experimenting with this technology, we strive to respect individual privacy and harvest only information for which there is a compelling public interest, such as the role of elected officials in public life. The TV News Archive is committed to these principles developed by leading artificial intelligence researchers, ethicists, and others at a January 2017 conference organized by the Future of Life Institute.

Second, developing the technology to recognize faces of public officials contained within the TV News Archive and turning it into data opens a whole new dimension for journalists and researchers to explore for patterns and trends in how news is reported.  

For example, it will eventually be possible to trace the origin of specific video clips found online; to determine how often the president’s face appears on TV networks and programs compared to other public officials; to see how often certain video clips are repeated over time; to determine the gender ratio of people appearing on TV news; and more. It will become useful not just in explaining how media messages travel, but also as a way to counter misinformation, by providing a path to verify source material that appears on TV news.

This capability adds to the toolbox we’ve already begun with the Duplitron, the open source audio fingerprinting tool developed by Schultz that the TV News Archive used to track political ads and debate coverage in the 2016 elections for the Political TV Ad Archive. The Duplitron is also the basis for The Glorious ContextuBot, which was recently awarded a Knight Prototype Fund grant.

All of these lines of exploration should help journalists and researchers who currently can only conduct such analyses by watching thousands of hours of television and hand coding it or by using an expensive private service. Because we are a public library, we make such information available free of charge.

What’s next?

The TV News Archive will continue to work with partners such as Matroid to develop methods of extracting metadata from the TV News Archive and make it available to the public. We will develop ways to deliver such experimental data in structured formats (such as JSON, csv, etc.) to augment Face-O-Matic’s Slack alert stream. Such data could help researchers conduct analyses of the different amounts of “face-time” public officials enjoy on TV news.

Schultz also hopes to develop ways to augment the facial detection data with closed captioning, with for example OpenedCaptions, another open source tool he created that provides a constant stream of data from TV for any service set up to listen. This will make it simpler to search such data sets to find a particular moment that a researcher is looking for. (Accurate captioning presents its own technological challenges: see this post on Hyper.Audio’s work.)

Beyond this experimental facial detection, we have big plans for the future.  We are planning to make more than a million hours of TV news available to researchers from both private and public institutions via a digital public library branch of the Internet Archive’s TV News Archive. These branches would be housed in computing environments, where networked computers provide the processing power needed to analyze large amounts of data.

Researchers will be able to conduct their own experiments using machine learning to extract metadata from TV news. Such metadata could include, for example, speaker identification–a way to identify not just when a speaker appears on a screen, but when she or he is talking. Researchers could create ways to do complex topic analysis, making it possible to trace how certain themes and talking points travel across the TV news universe and perhaps beyond. Metadata generated through these experiments would then be used to enrich the TV News Archive, so that any member of the public could do increasingly sophisticated searches.

Feedback! We want it 

We are eager to hear from people using the Face-O-Matic Slack app and get your feedback.

  • Is the Face-O-Matic Slack app useful? What would make it more useful?
  • Would a structured data stream delivered via JSON, csv, and/or other means be helpful? What sort of information would you like to be included in such a data set?
  • Who is it important for us to track?
  • What else?

Please reach us by email at: tvnews@archive.org, or via twitter @tvnewsarchive. Also please consider signing up for our weekly TV News Archive newsletter. Or, comment or make contributions over here, where Schultz is documenting his progress; all the code developed is open source. (One observer already provided images for a training set to track Mario, the cartoon character.)

The weeds

The TV News Archive, our collection of 1.3 million+ TV news broadcasts dating back to 2009, is already searchable through closed captions.

But captions don’t always get you everything you want. If you search, for example, on the words “Donald Trump” you get back a hodge-podge of clips in which Trump is speaking and clips where reporters are talking about Trump. His image may not appear on the screen at all. The same is true for “Barack Obama,” “Mitch McConnell,” “Chuck Schumer,” or any name.

.

Search “Barack Obama” and the result is a hodge podge of clips.

Developing the ability to search the TV News Archive by recognizing the faces of public officials requires applying algorithms such as those developed by Matroid. In the future we hope to work with a variety of firms and researchers; for example, Schultz is also working on a separate facial detection experiment with the firm Datmo.

Facial detection requires a number of related steps: first, training the system to recognize where a face appears on a TV screen; second, extracting that image so it can be analyzed; and third, comparing that face to a set known to be a particular person to discover matches.

In general, facial recognition algorithms tend to rely on the work of FaceNet, described in this 2015 paper, in which researchers describe creating a way of “mapping from face images to a compact Euclidean space where distances directly correspond to a measure of face similarity.” In other words, it’s a way of turning a face into a pattern of data, and it’s sophisticated enough to describe faces from various vantage points – straight ahead, three-quarter view, side view, etc. To develop Face-o-Matic, TV News Archive staff collected public images of elected officials from different vantage points to use as training sets for the algorithm.

The Face-O-Matic Slack app is meant to be a demonstration project that allows the TV News Archive a way to experiment in two ways: first, by creating pipelines that run the TV News Archive video streams through Artificial Intelligence models to explore whether the resulting information is useful; second, by using a new way to distribute TV News Archive information through the popular Slack service, used widely in journalistic and academic settings.  

We know some ways it can be improved, but we also want to hear from you, the user, with your ideas. In the words of Thomas the Tank Engine, we aspire to be a “really useful engine.”

Face-O-Matic on GitHub

Follow TV News Archive progress in recognizing faces on TV on the following GitHub pages:

Tvarchive-faceomatic. The Face-o-Matic 2000 finds known faces on TV.

Tvarchive-ai_suite. A suite of tools for exploring AI research against video

This post is part of a blog series, TV News Lab, in which we demonstrate how the Internet Archive is partnering with technology, journalism, and academic organizations to experiment with and improve the TV News Archive, our free, public, online library of TV news shows. 

 

 

Internet Archive Canada and National Security Letter in the news: roundup

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The Internet Archive garnered major media attention over the past week, first, on our plan to create a Canadian copy, and second, on the news we received a National Security Letter (NSL) requesting personal information about a user, the second in our history.

Canadian copy

Brewster Kahle’s post explaining why, in light of the new administration, the Internet Archive is raising money to build a copy of its collections in Canada hit a nerve.  More details were in a FAQ.

On November 29, Rachel Maddow led her MSNBC show with a segment about how the Internet Archive’s Wayback Machine helps reporters by preserving a record of what politicians say online, even when they later delete it.

One of her main examples: how soon after winning the election, President-elect Donald Trump’s official federal transition web page included a “rundown ….of all of the ‘world’s top properties that Donald Trump’s owns.”

The website has since been deleted, Maddow noted.

Maddow also called the Internet Archive, a “national treasure…an international treasure.” (We’re blushing.)

Meanwhile, Paul Sawers noted in Venture Beat:

 Given that lies and fake news played a crucial part in the 2016 U.S. presidential election narrative, it is somewhat notable that the Internet Archive had launched the Political TV Ad Archive back in January to help journalists fact-check claims made during political campaigning.

In The Washington Times, Andrew Blake wrote about the Internet Archive’s plans to create a Canadian copy and also reported:

Mr. Trump’s office did not immediately respond to a request for comment Wednesday. Prior to being elected president, however, the Republican businessman suggested taking action to prevent Americans from becoming radicalized online by the Islamic State terror group’s social media recruitment efforts.

Here’s a link to Trump’s speech referenced by The Washington Times.

Sam Thielman reported in The Guardian on challenges facing libraries generally, including the Internet Archive’s decision to create a Canadian copy of data. The piece also discusses how the New York Public Library has changed its privacy policies to assure readers that it will not keep user data longer than expected.

Other media outlets reporting on the Internet Archive’s news include NBC News, the BBC, the New Republic, Recode Daily, and Newsweek.

Increasing transparency on National Security Letters

Last week the Internet Archive also revealed we received a National Security Letter (NSL), requesting we turn over personal information about a particular user, the second in our history. We worked with the Electronic Frontier Foundation (EFF) to challenge the letter and gain the right to release it in redacted form; in the process, we also highlighted an error in the NSL about the right to appeal, which may have affected thousands of other letters.

Kim Zetter, a reporter for The Intercept, reported at length about how the Internet Archive took the unusual step of challenging the NSL–and won:

Now, Kahle and the archive are notching another victory, one that underlines the progress their original fight helped set in motion. The archive, a nonprofit online library, has disclosed that it received another NSL in August, its first since the one it received and fought in 2007. Once again it pushed back, but this time events unfolded differently: The archive was able to challenge the NSL and gag order directly in a letter to the FBI, rather than through a secretive lawsuit. In November, the bureau again backed down and, without a protracted battle, has now allowed the archive to publish the NSL in redacted form.

Dhrumil Mehta of FiveThirtyEight.com reported on the error exposed by the Internet Archive and the EFF–namely, the NSL incorrectly described the means for possible appeals of the gag order preventing an organization that has received such a letter from publicizing it. Mehta has filed a Freedom of Information Act request (FOIA) to find out how many letters sent out by the Federal Bureau of Investigation (FBI) contain this error:

This letter was particularly troublesome to privacy advocates because it contained misinformation about the rights of a letter recipient to challenge the nondisclosure requirement. The letter stated that the Internet Archive could “make an annual challenge to the nondisclosure requirement.” The Electronic Frontier Foundation, an advocacy organization that is legally representing the Internet Archive, pointed out in a press release that the passage of the USA Freedom Act in June of 2015 changed the law to allow letter recipients to challenge the National Security Letter at any time, not just once annually. In response to the EFF’s claim, the FBI withdrew its National Security Letter, allowed the Internet Archive to publish a redacted version of the letter containing the error and promised to correct the mistake by informing everyone else who got the same erroneous language.

It’s not just us

Tim Johnson of McClatchyDC drew all the themes together, linking the Internet Archive’s Canada announcement, the news on the NSL, and actions other library organizations are taking, all in one piece.

It turns out the nonprofit Internet Archive isn’t alone in taking action.

The New York Public Library announced a change this week to its privacy policy, informing users that it would retain less information about their activities.

The American Library Association, headquartered in Chicago, embraced that move and encourages others, including telling public libraries to encrypt all communications and lock up stored data to protect it from a prying government.

 

Kick Back With Old Time Radio Shows

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2009 bombards people with screens; whether you’re picking up your phone, checking your mail, watching the news, going to a movie, or reading this blog, you likely encounter upwards of three screens everyday. So it’s good to take a break from modern technology, even if that means visiting Internet Archive to do so. Yes, it’s a Web site, but it also holds a plethora of entertainment from bygone years, including a large collection of old time radio shows.

Choose a radio show, hit play, and gently close your laptop or spin away from your desktop. Imagine that you’re pre-television and pre-internet, grab some coffee or tea, and enjoy the lost art of the radio show.

There are plenty to search through, but here are a few standouts:

  • A Case For Dr. Morelle: 12 episodes of the BBC classic from the 1950s about a criminologist psychologist. CSI fans, listen up.
  • Red Skelton: A timeless comedian from the 1930s and ’40s, this broadcast includes interesting Rollies Cigarette ads claiming that “medical science offers you proof positive no other cigarette is safer to smoke.”
  • Charlie Chan: A radio show documenting detective Charlie Chan, a Chinese-American who has the “wisdom of the east, science of the west.”
  • The Voyage of the Scarlet Queen: Deemed the Star Trek of old time radio, this radio show logs the adventures of the master and first mate of a ship traveling around the South Pacific.
  • WKBW Halloween Show: A much more contemporary show from 1973. This broadcast is from Halloween night, celebrating the 8th annual radio show broadcasting horror stories. This show kicks off the horror marathon with War of the Worlds.

    • –Cara Binder

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