Excellent list of stock characters

http://tvtropes.org/pmwiki/pmwiki.php/Main/StockCharacters?from=Main.StockCharacter

What TV Ratings Really Mean (Nielsen Media Research)

There are two questions which Nielsen Media Research ratings answer about TV viewing: "Who is watching TV?" and "What are they watching?" These are not easy questions to answer, and we use research methods, which have been developed and refined over many years to provide answers every single day.

Knowing who is watching

The way that Nielsen Media Research finds out about who is watching is to measure what a sample of television viewers are watching. For our national ratings estimates, we use a sample of more than 5,000 households, containing over 13,000 people who have agreed to participate. Since there are over 110 million households with TVs in the U.S., it might seem that a sample of

5,000 is just not big enough to represent the nation.

Actually, a representative sample doesn't have to be very large to

represent the population it is drawn from. For example, you don't

need to eat an entire pot of vegetable soup to know what kind of

soup it is. A cup of soup is more than adequate to represent what is

in the pot. If, however, you don't stir the soup to make sure that all

of the various ingredients have a good chance of ending up in the

cup, you might just pour a cup of vegetable broth. Stirring the soup

is a way to make sure that the sample you draw represents all the

different parts of what is in the pot.

While a sample doesn't have to be very large to represent the

population, the sample does need to be selected in a way, which

gives all members of the population the same chance of being

chosen.

If 50% of the vegetable pieces in a huge pot are carrot cubes, the only way to know it for sure would be to examine and count the contents of the entire pot. Let's say we stir well and pour a cup of soup with 10 vegetable pieces in the cup. If sampling were a perfect process, we would get five carrot cubes out of ten pieces. What actually happens is that we usually get close to five

carrot cubes-sometimes a little more and sometimes a little less and sometimes exactly five. It is possible, but really unlikely, to stir well and get no carrot pieces-or to get all carrot pieces. So we could get a rough estimate of the proportion of carrots in the pot from counting what is in the cup.

If we wanted a closer estimate, we would take a larger sample. Imagine if we stirred well and then poured out enough soup to contain 5,000 vegetable pieces. We probably wouldn't get exactly 2,500 carrot pieces, but the chance of getting no carrots at all is very remote. In fact, according to sampling theory and a very tasty laboratory test, 19 out of 20 times we take a wellstirred sample of soup containing 5,000 vegetable pieces; we get between 48% and 52% carrots.

There is no guarantee that the percentage of carrots in a sample of this size will be between 48% and 52% (one time in 20 it will be outside this range, but usually not far outside this range). The same sampling errors apply to a representative sample of television viewers.

Measuring homes, TVs, programs, commercials and people

In order to provide all the information, which the TV and advertising industries need, Nielsen Media Research actually measures all of the above. We report the amount of TV usage on every set in a sample household - those are homes which have agreed to participate in our research for a specific period of time.

Just like a recipe in which several ingredients have to be combined, Nielsen Media Research constructs TV ratings from several different sources of information.

Measuring TV sets
Identifying TV programs

In a specially selected sample of homes, Nielsen Media Research

technicians install metering equipment on TV sets, VCRs and cable boxes

(and even satellite dishes). The Nielsen Media Research meters

automatically and invisibly keep track of when the sets are on and what

the sets are tuned to. These meters are connected to a central "black box,"

which is actually a very small computer and modem. Information from

the meters is collected by the black box, and in the middle of the night all

the black boxes call in their information to our central computers.

For us to know what is on the channel at the time it is tuned, we have to collect a large amount of information every day about what is on every TV station and cable channel all across the country. A network may schedule a program, but some stations that usually carry that network may not carry that program, or may delay the program and show it at a different time. Nielsen Media Research's primary source of information about which programs are airing for

each station or cable channel comes from a very special coded ID number that is part of almost every TV picture-a series of lines and dots in the top edge of the picture which labels the program and episode. Nielsen Media Research developed and patented this system, which we call AMOL, or Automated Measurement Of Line-ups. All across the country, we have sites where TV stations are monitored and the program ID codes are detected and collected. Each night, these monitoring sites connect up to our central computer and download the information. We compile the electronic program information and compare it to other sources of information we have already received. If there are discrepancies, we call TV stations and cable operators to verify what actually was aired. Keeping track of what is on TV is also done with the help of program listings provided by networks, stations and cable systems, as well as published TV listings.

We track more than 1,700 TV stations and 11,000 cable systems. With this database as a starting point, we can credit tuning and viewing to all of the networks, syndicates, cable networks, TV stations and cable systems involved in providing TV programming to the viewing public.

Identifying commercials

Although there are many TV programs, there are even more commercials. Keeping track of what commercials are on TV is another service provided by Nielsen Media Research. Using a special passive TV signal identification technology, commercials on TV stations are continuously monitored and converted into a digital "fingerprint". These fingerprints are then compared to a

computer file of fingerprints from thousands of different commercials and automatically identified whenever possible (which is about 95% of the time). The other 5% of the time, recordings  of unmatched commercials are sent to a central office to be viewed and properly credited. This information is used to produce reports detailing when and where TV commercials actually aired.

Measuring People

This is the main ingredient in the recipe for ratings: who is watching? When we combine the measurement of who is watching with what channel is tuned and what program is on that channel, we can credit viewing to a program.

Nielsen Media Research measures who is watching programs, which reach the entire nation with the Nielsen People Meter. In our national sample, we install set meters which have an attachment called a "People Meter". The People Meter is a box, about the size of a paperback book, which is placed on or near each TV set.

The box has buttons and lights, which are assigned to each person who live in the household (with additional buttons for guests). There is also a remote control to operate the people meter from anywhere in the room.

When a viewer begins watching TV, they push their button, changing their indicator light from red to green. When they finish watching, they push their button again and the indicator changes back to red. Periodically, the lights flash to remind people to check to make sure that the information in the people meter is accurate.

Information from the people meters is combined with set tuning information and relayed to Nielsen Media Research each night.

National and local measurement

So far, we have been describing how Nielsen Media Research measures audiences to programs, which reach the entire nation. But the television system in the United States also requires a local measurement of how programs perform in specific markets. In fact, Nielsen Media Research measures more than 200 individual local television markets in addition to the national measurement service. There are many important differences in the way Nielsen Media Research measures local television.

Diaries: Another way to know who is watching

To measure the audiences for local television, Nielsen Media Research gathers viewing information using TV diaries, booklets in which samples of viewers record their television viewing during a measurement week. We conduct diary measurement for each of the 210 television markets in the country four times each year, during February, May, July, and November: (You may have heard of these as "sweep" months, in which we conduct a complete diary measurement across the nation.)

The diary requests that viewers write down not only who watched, but also what program and what channel they watched.

We have tried to make the task of filling out a diary as easy as possible by asking people to report what they do by quarter hours (instead of minute-by-minute). Once the diaries are filled out, viewers mail them back to us and we transfer the information into our computers in order to calculate ratings.

In 50+ of the largest markets, we have a sample of homes with set meters (not people meters), which provide the tuning status (set on/off, channel and time) of TV sets in the home. We collect information about who is viewing from separate samples of homes in these markets with diaries for each TV set. We combine the meter and diary information in a way which projects the diary viewing data adjusted to the meter tuning data.

Information Accuracy

No measurement system is perfect, whether it measures the entire population or just a sample. Errors are always a possibility. When measurement is based on a sample, there is the additional source of error, which comes from sampling variation (some samples are going to be a bit high, others a bit low).

For this reason, Nielsen Media Research regularly crosschecks the information obtained from different samples and different measurement methods. Remarkably, the ratings produced from more than 100,000 diaries collected from all markets during each sweep month have been similar

to the ratings based on 5,000 People Meter homes for the same period of time. Different measurement methods, completely separate samples-and a vast difference in sampling size-yet they both produce similar estimates of audience.

In addition to this, we have ongoing audits and quality checks to make sure that all of our procedures are working correctly.

Nielsen Media Research Families

The Nielsen Media Research families are a cross-section of the households with television sets all across America. Because we have selected them in a way, which gives every household an equal chance of being picked, we have all

kinds of households in the sample. This means that we have homes from all fifty states, from cities and towns, suburbs and rural areas. We have people who own their homes and people who live in apartments. Some homes in the panel

have children and some don't.

Various ethnic and income groups are represented. When we check the characteristics of households in our samples against the U.S. Census data, we find that our samples look very much like the population. Of course, the match is not perfect. When you draw a representative sample, it is usually close to the population on a given characteristic.

Between 11 and 12 percent of the Nielsen Media Research samples are African American, for example, and this matches the percentage of all TV households in the United States, which are classified as African American.

Let's look at the individual samples in terms of African American representation. National People Meter Sample -- There are 5,000 households in this sample. The number fluctuates daily as about 300 households come in and out of the sample every month. Of this number, nearly 550 households are African American, or about 11 percent of the total.

Sample Selection

Our sample homes are selected strictly through chance. Naturally we'd like to accommodate people who offer to be in our sample, but doing so would violate basic laws of sampling practice. The sample would immediately become biased because those who asked to join may be systematically different from the population at large.

Instead, we carefully draw our sample in a way that offers every U.S. television household an equal chance of being selected. Once the homes are selected and agree to participate, Nielsen Media Research protects their privacy by keeping their identities confidential.

Representative Samples

If every member of the population has an equally good chance of being in the sample, then this makes it a representative sample. Through statistical theory (and many years of practical experience which is consistent with that theory), we know that fairly drawn (or random) samples vary in usually small ways from the population. Over time these small differences tend to average out.

We check our samples in various ways. Where we do know something about the characteristics of the entire population (thanks to U.S. Census Bureau data), we compare our sample to the population. We find that although the samples aren't identical to the population, they are about as close to it as statistical theory predicts. The most important thing to check in our samples is the

television viewing information. Although no one has measured the viewing of the entire population, we do have ways to cross check against other samples and other methods of measurement. We regularly compare our National People Meter audience data to the combined information from the diaries all across the 210 markets we measure.

Occasionally, we do special studies called Telephone Coincidentals. In these tests, we call thousands of randomly selected telephone numbers and ask people if their TV sets are on and who is watching. This research provides a completely independent check on the amount of TV usage and viewing, and

when we have found some differences, it has helped us zero in on ways to improve our ongoing measurement systems.

Viewing Confirmation

Confirming whether people are actually watching television is really one of the most difficult questions we face. Some of the information we measure is possible to check by independent means. Stations carry programs and we can observe that when it happens. TV sets are tuned to particular stations and not to others, and we can measure that when it happens.

The only person who knows when viewing occurs is the viewer. Viewing is not necessarily looking at a TV; it is not necessarily being in the room with a TV; it is something that only the viewer can define. This is why we use the diary and the people meter; so that viewers can tell us what they do.

We conduct special research among former members of our TV meter and diary ratings samples to learn more about how they actually watch television and how accurately they have reported their viewing. With the help of the viewing public, we are constantly learning more about the partnership between TV and its audience.

Ratings Usage

Nielsen Media Research's role is to measure both what is transmitted and what is received. By doing this, we provide the programmers and advertisers with vital feedback on their audience. Nielsen Media Research ratings are used like currency in the marketplace of advertiser-supported TV. When advertisers want a commercial to reach an audience, they need to place it in TV programs, which deliver an audience. The more audience a program delivers, the more the commercial time is worth to advertisers. So the amount charged for advertising is usually a negotiated rate per thousand viewers multiplied by the Nielsen

Media Research audience estimate (in thousands).

Programs are expensive to produce, whether they attract large audiences or not. In the long run, TV programmers can't pay more for a program than they can earn from selling advertising in it.

Program Cancellations

Occasionally some viewers find that a program they watch gets canceled. By estimating the audience, our information helps programmers keep the popular shows on TV, and it also helps them make the difficult decisions to cancel unpopular shows.

The irony of the mass medium of television is that a program with "only" a few million viewers may be an unpopular program. It may take ten million viewers for a network or nationally syndicated program to be popular enough to be a business success. Every time a program is canceled, a few million viewers feel betrayed. But if programmers tried to keep all programs going, the shows that lose money would eventually put the programmers out of business. Nielsen Media Research ratings are also used by non-commercial television. They can learn about the audience they serve and make better programming decisions.

Understanding TV Ratings

(From TVByTheNumbers.com)

This video is quite instructive:

Here are some definitions and explanations directly from Nielsen (PDF) updated for the 2008-2009 television season.

Common Terms:

TV HHs: the Nielsen estimate of the number of television households in the USA

PERS 2+: The Nielsen estimate for the number of people aged 2 and over in the USA

LIVE+SD: The number that watched a program either while it was broadcast OR watched via DVR on the same day the program was broadcast (kind of, see below)

LIVE+7: Same as above, but 7 days rather than 3.

Ratings: Nielsen uses a ratings point system. 1 ratings point = 1% of the Nielsen estimate for the category being measured (more detail below).

A18-49 or Adults 18-49 Ratings  - this is the advertising demographic advertisers are usually most interested in for primetime shows.  It's the important number in terms of how well a show is doing.  Total viewers (P2+ above) don't really make a difference.

***

It is our goal to demystify the #s wherever possible. Here are some helpful numbers to keep in mind.

Nielsen uses a ratings point system. One rating point = 1% of the Nielsen universe. 

TV HHs= Households with TVs

Pers 2+ -this is the estimate of the total number of people age 2 and over in the US for the 2012-2013 season.

These are the two basic sets of numbers that drive the generally available ratings which Nielsen releases.

Keeping in mind that a ratings point is 1% of the universe, all of the aggregate ratings you see are calculated against these two numbers. Nielsen provides ratings for both TV HHs AND Pers 2+. Since these are two different sets of numbers, the lists can be very confusing. 

If you see a HHs rating of 6.2, that means 6.2% of the households were tuned into that program. The math works like this (based on Nielsen estimates):

6.2% of 112,800,000 = 6,993,600 TV HHs were tuned in.

While TV HHs are a good proxy for how many people are watching, Nielsen also tracks how many people in each household were watching a show. Sometimes you may see something with a VIEWER or Pers 2+ rating. These numbers are just a percentage of the 286,300,000 people estimate.

Different shows have different numbers of people per household watching. It's not the same for every show. So it's very possible for one show with less households to have more viewers. It happens all the time. Again, we seek to eliminate that complexity by focusing on viewers and ranking our lists accordingly.

Nielsen further breaks their universe estimates for Persons 2+ into age groups (2-11, 18-34, 25-54, etc.). The particular age group ranking generally available is the 18-49 demographic. This equals roughly 131,050,000 (or less than HALF of the total universe of 286,000,000).

Advertisers tend to like the 18-49 and 25-54 brackets. Currently we only have access to data segmented by 18-49.

Has your head popped off from thinking about all of this yet? If not, read on.

Time Shifted Viewing – Program ratings for national sources are produced in three streams of data – Live, Live + Same Day (Live+SD) and Live + 7 Day (Live+7). Time shifted figures account for incremental viewing that takes place with DVRs which are currently in approximately 24.4% of all U.S. TV households. Live + Same Day include viewing during the same broadcast day as the original telecast, with a cut-off of 3:00AM local time when meters transmit daily viewing to Nielsen for processing. Live+ 7 Day ratings include incremental viewing that takes place during the 7 days following a telecast.

To simplify this, if you have Heroes on your DVR that was recorded at 9pm, as long as you watch it prior to 3AM, it will count in the LIVE+SD numbers. So same day isn't exactly the same day, but they always measure this the same, so it's consistent. If you don't watch until 4am (why are you still awake at 4am!?) it will not count in the LIVE+SDnumbers but it will count in the LIVE+7 (live usage plus 7 days worth of DVR usage).

Households Using Television (HUT): The percentage of all television households in a survey area with one or more sets in use during a specific time period. The sum of the average ratings for a given time period will sometimes be higher than the HUT number because of households viewing multiple programs at the same time. If a household is watching two programs, it is counted toward each program rating but only once toward a HUT number.

Exam #2 Review Sheet

Intro to Media Industries

Exam #2

Spring 2015

Underbelly of Movie Industry (from the blog + class)
- Tricky Hollywood accounting
- Theater extortion
- Fake Reviews
- Copyright Battles
- Strangling Consumer Choice
- Script theft accusations
- Writers don't come up with ideas (producers do)
- Importance of the International Market
- Reasons why movies get killed (development hell)
- The ratings system
- The importance of merchandising

App Inventor Information (from appinventor.mit.edu + class) 
- Palette, Viewer, Components, Properties
- Blocks
- Built-in drawers; component drawers
- Event handlers
- getters and setters


Understanding TV Ratings (from blog + class)  
Nielsen Media Research
Rating vs Share (know that successful talk shows typically get low ratings but high shares)
Key Demo for entertainment
Key Demo for news
GRP = "gross ratings point"
HUT
TVHH
C3
Live + 7
Nielsen Family
Overnight Ratings (Set-top boxes)
Sweeps Months (November, February, May, July)
PeopleMeters
Diaries
Telephone Coincidentals

Sound Recording Overview (Info from Blog and text; we'll go over this on Tuesday)

Phonograph and Edison

Gramophone and Berliner

Nickelodeons

Cylinders vs. flat discs

Berliner’s Victrola

Impact of radio on recording industry

Importance of the jukebox during the Depression

Rock n’ roll’s importance

RIAA

“South Park” and RIAA

New business models

Organization of industry—talent, production, distribution, retail

Types of distribution 

Ownership of industry

Departments within typical recording company (A&R, sales/distribution, advertising, promotion, business, publicity, artist development)

Demo

Billboard Magazine

Economic State of Music Sales Worldwide (IFPI Digital Music Report)

Radio (from text and blog; we did not cover in class, but you'll need to know this material) 

Key figures: Hertz, Marconi, Fessenden, de Forest, Conrad, Sarnoff, Armstrong

KDKA
“toll broadcasting”
Networks and affiliates

Radio Act of 1927, FRC

Communications Act of 1934, FCC

FM radio

Television’s influence on radio

NPR

Telecommunications Policy Act of 1996

Terrestrial Digital Radio

Internet Radio

Mobile Radio/Satellite Radio

Defining features of radio

Three AM radio channel classifications (clear, regional, local)

Three FM radio channel classifications (C, B, A)

Popular station formats

Voice-tracking and compression

Sources of revenue (network ads, national spot ads, local ads)

Arbitron

General radio audience characteristics

Drama & Storytelling (Info from class and blog; we'll go over this on Tuesday)

Dramatic formula

- Exposition/introduction

- Rising Action

- Climax

- Falling Action

- Denouement
Stock characters

-reluctant hero

-comic sidekick

-nerdy girl

-wacky neighbor

-wise old man
Stock Situations

-bitter rivals

-dysfunctional nuclear family

-middle child

-team of three girls

-ill-fated lovers

Plot

Theme

Genres (tragedy, comedy, mystery, action/horror, reality)

Sports as drama

Articles/videos posted on blog that will be on exam: 

Lucrative stardom in China, using a webcam and a voice
New Girl lawsuit
MI: Ghost Protocol lawsuit
IFPI Digital Music Report
Understanding TV Ratings
What TV ratings really mean (Nielsen)
Radio Industry in Flux
Radio Revenue 2008-2012
Who owns radio in the U.S.

9:25 a.m. App Project

Solo:
1. Felicia
2. Willow
3. Chiara
4. Anthony
5. Lucas
6.
7. Maddie
8. Eric
9. Ryan Prunty
10. Trent M
11. Xavier
12.Michael
13.
14.
15.


Partner:
1. Ethan, Alex
2. Mackenzie and Katie
3. Lauren, Evan K
4. Matt N, Mike S
5. Shari and Joelle
6. Sam and Evan
7. Jacob and Andrew
8.
9.
10.
11.
12.
13.
14.
15.

App Report Specifics

App Report Specifics

I. Executive Summary

The Executive Summary is a brief (typically one page) summary of the overall report. It contains basic info such as the name of the company, what the company does, short and long-term ideas for the company, etc. Feel free to include here any information that you believe is relevant. You would also want to include a graph or two. The information contained in the Executive Summary comes from the other parts of the report.

II. Company Summary/Overview

In this section, give your company a name and describe what the company does. In almost all cases, the company is a start-up “App Developer” company. What does it do? What shape is it in financially? Is it exclusively an app development company? If not, what other media work does your company do? Video production? Web site development? Political apps? Etc. This information is likely to be duplicated in both the Executive Summary and also in the Company Overview section of the SWOT analysis.

III. SWOT Analysis

Each group is required to provide a SWOT analysis on their app development company. Your critique should have the following sections:

Company Overview-- provide an overview of your company. What does it do? What shape is it in financially? Is it exclusively an app development company? If not, what other media work does your company do? Video production? Web site development? Political apps? Etc. 

Strengths.

Weaknesses

Opportunities.

Threats.

Conclusion/Recommendation.

Is the company positioned well for the future? Based on what you've learned, what recommendations would you make to insure the company's long-term success? Will the company succeed in the new digital media environment? Why or why not?

IV. Strategy and Implementation Summary

This is where the group provides an overview of what it is they’re doing and why. How is the labor being divided? Provide summaries of what each person in the group’s responsibilities are.

Questions to consider:

Which media function does the app serve and how? (Entertainment, Surveillance, Linkage, etc.).

What does the app offer in terms of appeal to an audience (audience analysis)? What demographic group is the app’s primary audience? Why? How will the app be marketed to this group?

What is the app? (Provide a description of the app and each scene/screen. This is also where you would provide the app storyboard).

How will the app be built? (Explain the process of how the app is going to be built).

How will the app be distributed?

Who will maintain the app?

Provide any relevant information that explains the process of how you came up with the idea, why the group believes it will appeal to the masses, the process you took to create and distribute the app, etc.

V. Management Summary

Provide a summary of the management team (perhaps with a thumbnail photo of each group member).

VI. Financial Plan

Explain how any revenue will be shared among group members. Will the sharing be based on amount of time spent on the project? Amount of $$$ put forward? Equal percentages for all?

Appendix

Provide screen shots of the app.

In addition, provide any other material that you feel is relevant.

App Rubric

Criteria	Level One	Level Two	Level Three	Level Four
Executive Summary	Few of the sections of the ES are present and/or not in proper order.	Most sections of the ES are present and in order.	All sections of the ES are present and in correct order.	All sections of the ES are present and in correct order including an introduction, and the writing is clear ane effective.
Company Information (Management, Finances, Strategy, etc.)	Sections are mentioned, but not fully explained.	Sections give an adequate overview of company information, but not detailed.	Sections provide solid overview of company information, including some details.	Sections provide insightful, articulate overview of company information with rich detail.
SWOT Analysis	Some sections of the SWOT analysis are mentioned.	All sections of SWOT analysis are mentioned, but with several errors.	All sections of SWOT analysis are present, but analysis could use some improvement.	All sections of SWOT analysis are present.  Analysis is clear, cogent, effective.
Concept of App	App is poorly conceived in terms of usefulness, marketability.	App is generally ok, but we would have hoped for something more elaborate for a university course.	App is generally solid, but could be significantly better with some minor changes.	App is well conceived and has the potential to become quite popular.
Graphical Design of App	App is poorly designed. Aesthetically unpleasant.	Aesthetics of App are generally ok, but appear amateurish.	Aesthetics are quite good, but not quite of   professional quality.	Aesthetics of App are of professional quality.
Functionality of App (Coding)	App does not work.	App works, but is either simple or has glitches.	App works well and has no glitches; coding is impressive.	App works well, has no glitches, and clearly has advanced coding.
Appendix	Required materials (screen shots of App + screen shots of code not present)	Some required materials present, but generally not presented well.	All required materials are there, but presentation could use some improvement.	All required materials are there and are presented in a professional manner.
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