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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Explaining Podcast Recommendations To Users with Content Diversity Labels</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Bernd Huber</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yixue Wang</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jean Garcia-Gathright</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jenn Thom</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Northwestern University</institution>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Spotify</institution>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2022</year>
      </pub-date>
      <abstract>
        <p>Podcasts are available in a broad range of formats and content, and by a variety of producers. There are unique challenges with podcast recommendations that make it hard for users to distinguish between podcast episodes, and choose the right podcast to listen to. We see an opportunity to explain recommendations to users in order to help them make decisions about what to listen to. In this work, we study the characteristics of podcasts that make them diferent from each other. Based on a formative study with podcast experts, we find that host/guest information, format, length, and “vibe” are dimensions that constitute diferences among podcasts. In a user study, we tested how highlighting such dimensions with explanatory labels impact users in a podcast selection task.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Podcast</kwd>
        <kwd>Recommendation Systems</kwd>
        <kwd>Explainability</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        podcast ecosystem, current podcast streaming platforms,
such as Apple Podcasts, Audible, Spotify and YouTube,
Podcasts, portable and on-demand spoken-word audio neither fully support listener exploration of the breadth
content available on a variety of streaming platforms, of available podcasts nor highlight the diferentiating
have emerged as a popular medium for information, en- dimensions among podcast shows and episodes. These
tertainment, and advertising [
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ]. Podcast listening is podcast streaming platforms aim to assist listeners in
dison the rise – in 2006, 22% of the U.S. population older covering new podcasts through recommender systems.
than 12 years were aware of podcasts; in 2021 it was over However, listeners still rely mostly on both ofline and
78% [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. More and more people listen to podcasts as they online word of mouth (e.g., friends, family, co-workers,
explore a broader range of genres and use more stream- social media, discussion boards, etc.) and podcast
crossing platforms [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. In addition, there is a large amount of promotion, rather than podcast platform
recommendapodcast content available, with over two million podcast tions [
        <xref ref-type="bibr" rid="ref10 ref9">9, 10</xref>
        ].
shows and over 48 million podcast episodes available on There are also challenges for listeners to navigate
podpopular streaming platforms[
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. cast streaming platforms if they are interested in finding
      </p>
      <p>
        Because of their low barrier to entry for both pro- unique and appealing content. For instance, podcasts
usuducers and listeners, podcasts encourage both amateur ally are released and organized in a series in the listening
producers and mainstream media to provide a variety of interface, where new podcasts are pushed to subscribers
content [
        <xref ref-type="bibr" rid="ref1 ref6">6, 1</xref>
        ], breaking traditional hierarchical gatekeep- through RSS feeds [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. In addition, podcasts tend to be
ing practices where only a professional can decide what long and dense (i.e., more than 30 minutes) [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], which
to publish [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. In addition, podcast listeners have indi- can further constrain listeners from exploring outside of
cated a willingness to explore when listening to podcasts. their current listening habits. Due to the limited
infor39% of podcast listeners listen to podcasts to learn some- mation shown in current podcast streaming interfaces,
thing new [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. Because of the wide variety of content listeners also need to actively choose when discovering
from a large set of producers combined with listeners new podcasts [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
who have indicated a willingness to explore, there is an This work introduces podcast recommendations as a
opportunity to help listeners discover varied and diverse unique setting in which explainable recommendations
podcast content efectively. are necessary. To define podcast dimensions that help
Despite the large variety of podcasts ofered by the podcast listeners diferentiate content, we conducted a
formative study with four experts in the design and
evaluation of the podcast listening experience. Our formative
study revealed several dimensions to highlight when
supporting listener exploration of diferent podcast content.
      </p>
      <p>
        We found diversity of creators (e.g., ethnicity, genders,
age groups, social status, etc.), diferences of
presentation (interviews vs. storytelling), diferences in “vibe” [19]. In this subsection, we discuss what user interfaces
(light-hearted vs. more serious conversation), and difer- have been explored in the podcast ecosystem.
ences in length, to be particularly relevant. Our findings Current podcast interfaces are typically sequential and
suggest that listeners’ exploration of podcasts can be sup- organized by show-level [20], which could potentially
ported by showing content labels, and that these labels limit users’ ability to explore beyond the shows they
alcan increase users’ awareness of podcast diversity. ready listen to. Similar to other long-form and episodic
media (e.g., movies, television series, documentaries, etc.),
one challenge for podcasts is to summarize the most
inter2. Related Work esting content from the long and dense content [21]. Due
to the limitations of the audio format, which does not
sup2.1. Diferentiation in podcasts port skimming and browsing [22], it becomes a challenge
Finding a podcast among the large variety of available for listeners to navigate among podcasts. One possible
podcasts can be hard for users, since topical relevance is solution to ease the navigation of audio content is the use
merely one aspect. As previous research suggests [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ], of summaries. Previous research has experimented with
podcasts vary along multiple dimensions: the specific diferent ways to understand how users navigate large
host or guest in the episode, presentation styles, and pro- and dense content via summaries. For instance, one study
duction quality, which all help a user determine whether proposes a way to summarize content via human and
they are interested in listening to an episode or not. Mean- automatic methods [21]. Interface designs can also help
while, episode metadata, including podcast episode titles, users view an entire recorded audio conversation and
descriptions, along with the audio files [
        <xref ref-type="bibr" rid="ref14 ref2">14, 2</xref>
        ], create a allow zooming in and out to see the transcripts and listen
large amount of data for podcast streaming platforms, re- to the audio at the same time [23]. Summaries can be also
sulting in opportunities for designers to use this metadata combined with a hierarchical visualization mode to allow
as a resource to help diferentiate between the content. users to explore a large corpora through intuitive visual
However, listeners still need to actively choose and difer- and textual methods [24]. Instead of proposing ways to
entiate when discovering new podcasts because current automatically summarize podcast content as in previous
podcast streaming interfaces show limited information research, our study aims at a user-centric exploration of
about podcasts[
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]. how users’ perceptions of a variety of podcast content is
      </p>
      <p>
        One approach to help diferentiate between content is impacted by summaries.
via diverse recommendation so that users can navigate Apart from summaries, content labels are another
comand identify relevant items faster in the exploratory stage mon way to provide snippets of information about
con[15]. Several dimensions of diversity are highlighted by tent and enable users to filter content easily. In prior
previous studies [16], including diversity of entities (i.e., research, tags have been extensively studied as a form
people, group, and organizations), topic diversity, view- of content labels. Social tags can be used as a key
elpoint diversity (e.g., diferent angles), and medium diver- ement in recommendation systems [25]; diferent tag
sity (e.g., audio, video). Yet, these dimensions do not take selection algorithms as well as tag designs have been
podcasts’ unique attributes into account. For instance, tested and suggested in movie recommendations [26].
some non-textual attributes unique to podcasts may con- Previous studies have also investigated the reasons
betribute to a diferentiated listening experience, such as hind users’ tagging behaviors in photos [27]. The use of
energy, seriousness, vibe, novelty of the episode, dura- social tags can enhance navigation and search [28, 29].
tion, number of speakers, popularity, etc., as suggested Tags can also be combined with audio content for style
in previous research [
        <xref ref-type="bibr" rid="ref2">17, 2</xref>
        ]. clustering in music [30]. Previous work in content tags
      </p>
      <p>Though many studies have explored specific dimen- has been applied in web pages, movies, photos, and
musions of how podcasts difer from each other, a holistic sic, but these studies do not fully understand how the
view of how users perceive these diferences is underex- tags impact the user navigation process as well as users’
plored. As a result, we propose that providing ways to actual selections.
diferentiate can help listeners make better choices.
2.2. Interface elements for podcast</p>
      <p>diferentiation
Users’ interactions with podcasts are influenced by the
interfaces in which podcasts are presented [18], and many
podcasters rely heavily on platforms to support discovery</p>
    </sec>
    <sec id="sec-2">
      <title>3. Formative Interviews with</title>
    </sec>
    <sec id="sec-3">
      <title>Experts</title>
      <p>We interviewed professional podcast curators and one
designer to understand how they diferentiate between
podcasts, and we sought to understand expert practices
around supporting listeners’ exploration of various
podcasts. Previous studies have shown the power of experts
in understanding users’ needs [31, 32]. Therefore their This low barrier also allows bringing “individualistic”
expertise and knowledge about the breadth of podcast perspectives into public discourse, or the intimate self
content can ofer in-depth insights around users’ explo- [33], in contrast to the traditional standard. The
intiration and navigation processes. macy from podcasters also makes podcast listening an</p>
      <p>We recruited four interviewees, including three pod- intimate and personal listening experience for listeners.
cast curators and one designer, through snowball sam- I2 discussed that podcasts are “just for myself” and “a
pling at a podcast streaming company: I1 (male, three self-experience,” instead of for a group of people. Podcast
years of experience in podcast curation), I2 (female, two listening is also a passive listening experience for most
years of experience in podcast curation), I3 (male, two listeners and listeners listen to it for mainly
entertainyears of experience in podcast curation) and I4 (male, less ment purposes. As I3 mentioned, listeners “use podcasts
than one year of experience in podcast playlist design and to fill that space” when they “are commuting, cleaning,
four years experience in audio design). All interviewees or some activity that’s mundane.”
were also long-time podcast listeners. Each interview Another unique aspect about podcasts is that listeners
was conducted virtually via video meetings and lasted have control over what they listen to. Listeners
themfrom 46 to 72 minutes. selves choose what to listen to and decide “whether or</p>
      <p>
        Our semi-structured interviews began with self- not this podcast is something that is worth listening to,
introduction questions to learn each interviewee’s profes- as opposed to the advertising world that tells you which
sional background and personal background in podcast are the podcasts that are most worth listening to.” (I1)
listening. We then asked interviewees to describe how I4 also discussed that discovering new podcasts is
pullthey diferentiate between podcasts, and their process focused, relying on users to make the decision, similar
of evaluating diverse and varied content for listeners, if to the active pull strategy discussed by [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]. But the low
applicable. Next, we prepared a list of various podcast barrier also means that there is “an endless amount of
episodes on a topic (i.e., Science and Nature) for intervie- people talking at length about things that they know a
wees. We asked the interviewees to analyze what they lot about.” Therefore, listeners need to actively “go after”
thought would contribute to a varied and diverse podcast new podcasts to discover.
listening experience and what they thought was missing
from the list of podcast episodes. We also asked them 4.2. Highlight aspects from diferent
to discuss current interface design elements, including
search result lists, playlists, and recommendation grids, voices
that might encourage listeners to explore more varied
podcasts. We also discussed interface design elements
that might prevent users from exploring diferent and
diverse content.
      </p>
      <p>Our interview results emphasize that podcasts ofer a
variety of diferent voices to listeners. As I3 defined it,
podcast diversity is “about hearing from people who are
outside of your own normal circles” and “being exposed
to diferent voices.” As mentioned before, the low
bar4. Results rier to become a podcaster enables listeners to explore
things from a diferent perspective, and the intimacy of
podcasts also create a unique opportunity for listeners
4.1. Open format leads to varied content to personalize the listening experience from a diferent
Our results highlight that podcasts are a unique medium angle.
that ofers diversity naturally due to its low barrier to Our interviewees spoke about how podcasts
difentry. As I1 mentioned, “barrier to entry creates a lot fer from each other, including diversity of creators
of diversity...there’s no requirement to becoming a pod- (hosts/guests) from diferent backgrounds, ethnicity,
gencaster.. as long as someone can hold a conversation on a ders, age groups, and social status (e.g. celebrities vs.
nonsubject for an X amount of time, [and] there’s not even celebrities as mentioned by I1), diversity of opinions and
a structure around it.” The low or no barrier to entry viewpoints, diversity of presentation (“how these things
also creates such a unique opportunity for many voices are being discussed” as mentioned by I2), variations of
to be “elevated” and surfaced, which is not common in “vibe” (e.g., light-hearted vs. more serious conversation
other mainstream media formats. Meanwhile, as pod- as discussed by I1), diferences in popularity to “give
casts become more and more popular, celebrities also use more opportunity to smaller podcasts” (I3), variations
podcasts to voice their opinions. The mix of ordinary in formats and mixed media (e.g., conversational,
storypeople and powerful voices in podcasts creates a diversity telling, music, etc.), diferences in topics (e.g., technology
of voices in podcasts. Podcasts are “a great way to learn vs. meditation) (I4). Among all the dimensions, a wide
about new topics or hear things from people you might variety of creators is most important, since it can also
not have heard things from in your day-to-day life”(I3). naturally bring a diversity of viewpoints, as I2 argued.
As suggested by our interview results, it is crucial to
show a variety of “voices” when presenting podcasts to form that allows researchers to view and record
particlisteners. In our study, we define a list of dimensions ipants’ experiences during their interactions with the
that highlight the diferences between podcasts and then prototype. We recruited the participants from 20 to 35
we highlight those diferentiating dimensions in the pro- years old living in the United States, who subscribe to
totype. This can be achieved by current shelf-like de- a podcast streaming service, listen to podcasts multiple
signs or achieved by creating diferent tags/labels for times per week, and explore new podcast shows at least
each episodes once per week. We excluded participants who failed to
test all three interfaces, as well as participants who tested
our prototype twice. In total, we recruited 34 participants.
5. Ongoing Work: Study With We collected qualitative feedback from participants about
Explanatory Labels what they liked and disliked about the interface, as well
as measures for perceived diversity of the
recommendaAs a result of our formative study, we built a web applica- tions.
tion that presents podcast recommendations to users in
the interface shown in 1. Participants were instructed to
use our web application to select one episode they would 6. Discussion
like to listen to from 10 episodes shown on the interface.</p>
      <p>The episodes were from the same topic to avoid any top- We investigate how users can better diferentiate among
ical efects. Users could not proceed to the next interface the various kinds of podcast recommendations with
launtil they listened to the chosen episode for at least five bels as a way to explain diferences to users. In a
formaminutes. We followed a similar approach from [22] to tive study, we observed that diversity of creators (e.g.,
enable an organic exploration of podcasts. After partic- ethnicity, gender, age groups, social status, etc.),
diferipants listened to the selected episode for five minutes, ences of presentation (interviews vs. storytelling),
difthey were directed to a survey to reflect on their podcast ferences in “vibe” (light-hearted vs. more serious
conexploration process, including naming the episode they versation), and diferences in length, to be particularly
chose to listen to, providing a summary of the episode, relevant dimensions in helping people diferentiate
beand the other questions mentioned in the next subsection. tween podcasts. Further, in a user study based on a web
Once participants finished selections, they were asked to application that explains these dimensions through labels
complete a questionnaire about their preferences on how and summaries, we observed that the label explanations
well the interface helped the user perceive the diferences help users better diferentiate between varied podcast
between the content, usefulness, and informativeness. episodes when summaries are provided, and listeners</p>
      <p>The prototype interface (see Figure 1) has seven key selected more podcasts in total when explanations were
components for each episode: Episode Image, Episode provided. These findings indicate that explanations for
Title, Publisher, Episode Description, Host/Guest Infor- diferences in content may lead to more varied and
dimation, Audio Preview, and Diversity Labels. We use the verse selection of content.
term diversity to describe the diferentiating dimensions Our study suggests that listeners are able to better
difof podcasts that we observed during the formative study. ferentiate between podcast episodes when the diferences</p>
      <p>We chose a list of labels to explain the diferentiating of the content are highlighted via labels and summaries
dimensions of each podcast. Based on host/guest infor- and chose more distinct and varied content. We also find
mation, we had “Diverse Voices” to highlight podcasters that users were more satisfied with their podcast
explofrom a wide variety of demographics. Based on the length ration experience when provided explanatory labels. This
of each episode, we had “Deep Dive” for podcasts that are ifnding is consistent with prior research suggesting that
very long (close to or more than 60 minutes) and “Quick users are more satisfied when they are made aware of
Listen” for podcasts that are short (less than 10 minutes). the available options [34] and are presented with diverse
Based on the vibe of each episode, we had “Serious Con- content [35, 36]. These findings are relevant for
practiversations” and “Light-hearted Conversations”. Based tioners who design and build recommender systems for
on format, we had “Solo Podcast”, “Interview Podcast” podcasts and other types of streaming content. If the
and “Storytelling Podcast.” To amplify up-and-coming aim of these systems is to encourage diversity in
conpodcasters, we had “New Voices” for podcasters who are sumption, providing recommendation explanations that
new in podcast spaces. For our user study, we manually help scafold user awareness of the diversity of available
labeled each episode with the applicable diversity labels content can potentially help achieve that goal.
and highlighted these label(s) in blue to captivate users’ We propose that explaining and highlighting the
diferattention to the diferent dimensions between podcast entiating dimensions between podcasts is a first step to
episodes while exploring. understand how to recommend a diverse set of podcasts</p>
      <p>We recruited participants on usertesting.com, a plat- to listeners. Diversity can help reflect existing diferences
in societies, to give equal access to any diferent points of
view and actors, and to ofer a wide range of choices for
audiences[37]. From the individual perspective, listeners
can be more satisfied with the options provided for them
with an awareness of all the options and choices they
have [34]. If listeners only encounter similar content,
then they may find themselves in an echo chamber [ 38].</p>
      <p>Furthermore, from the content creator perspective, it is
essential for streaming platforms to encourage equitable
opportunities for a diverse set of creators so listeners can
encounter a broad spectrum of perspectives and
backgrounds. A diverse exploration experience can then
facilitate change of ideas and dialogues between diferent
viewpoints and arguments so that users can have more
informed opinions and become less polarized [39, 34].</p>
      <p>In future work, it will be an important next step to
understand how users learn and adopt their listening
habits through such explanatory labels, ultimately
leading to better exposure to various kinds of podcasts.
Furthermore, we believe that longitudinal studies of user
exposure to explanations of podcast recommendations
and how it afects listening behavior will be an important
next step, e.g., through analyzing long term trends of
podcast discovery behavior, or the long term development
of user satisfaction.
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